16.7.2.6 Traffic Surveillance, Analysis of Traffic

Cheng, H.Y.,
Highway Traffic Flow Estimation for Surveillance Scenes Damaged by Rain,
IEEE_Int_Sys(33), No. 1, January 2018, pp. 64-77.
IEEE DOI 1805
Estimation, Feature extraction, Image edge detection, Laplace equations, Surveillance, Traffic control, Videos, traffic flow estimation BibRef

Rios-Cabrera, R.[Reyes], Tuytelaars, T.[Tinne], Van Gool, L.J.[Luc J.],
Efficient multi-camera vehicle detection, tracking, and identification in a tunnel surveillance application,
CVIU(116), No. 6, June 2012, pp. 742-753.
Elsevier DOI 1204
BibRef
Earlier:
Efficient multi-camera detection, tracking, and identification using a shared set of haar-features,
CVPR11(65-71).
IEEE DOI 1106
Vehicle detection; Multi-camera tracking; AdaBoost; Tunnel surveillance BibRef

Derpanis, K.G.P.[Konstantinos G.P.], Wildes, R.P.[Richard P.],
Spacetime Texture Representation and Recognition Based on a Spatiotemporal Orientation Analysis,
PAMI(34), No. 6, June 2012, pp. 1193-1205.
IEEE DOI 1205
BibRef
Earlier:
Classification of traffic video based on a spatiotemporal orientation analysis,
WACV11(606-613).
IEEE DOI 1101
Spacetime texture: characterized by dynamic properties of elements rather than individual points. E.g. fire, water, windblown trees, or flow of pedestrians and traffic. BibRef

Perera, L.P., Oliveira, P., Guedes Soares, C.,
Maritime Traffic Monitoring Based on Vessel Detection, Tracking, State Estimation, and Trajectory Prediction,
ITS(13), No. 3, September 2012, pp. 1188-1200.
IEEE DOI 1209
BibRef

Butenuth, M.[Matthias], Reinartz, P.[Peter], Lenhart, D.[Dominik], Rosenbaum, D.[Dominik], Hinz, S.[Stefan],
Analysis of Image Sequences for the Detection and Monitoring of Moving Traffic,
PFG(2009), No. 5, 2009, pp. 421-430.
WWW Link. 1211
BibRef

Wojek, C.[Christian], Walk, S.[Stefan], Roth, S.[Stefan], Schindler, K.[Konrad], Schiele, B.[Bernt],
Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes,
PAMI(35), No. 4, April 2013, pp. 882-897.
IEEE DOI 1303
BibRef
Earlier: A1, A2, A3, A5, Only:
Monocular 3D scene understanding with explicit occlusion reasoning,
CVPR11(1993-2000).
IEEE DOI 1106
BibRef
Earlier: A1, A3, A4, A5:
Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes,
ECCV10(IV: 467-481).
Springer DOI 1009
BibRef

Zhang, Z.X.[Zhao-Xiang], Tan, T.N.[Tie-Niu], Huang, K.Q.[Kai-Qi], Wang, Y.,
Practical Camera Calibration From Moving Objects for Traffic Scene Surveillance,
CirSysVideo(23), No. 3, March 2013, pp. 518-533.
IEEE DOI 1303

See also Extended Grammar System for Learning and Recognizing Complex Visual Events, An. BibRef

Zhang, Z.X.[Zhao-Xiang], Li, M.[Min], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
Practical camera auto-calibration based on object appearance and motion for traffic scene visual surveillance,
CVPR08(1-8).
IEEE DOI 0806
BibRef
And:
Robust automated ground plane rectification based on moving vehicles for traffic scene surveillance,
ICIP08(1364-1367).
IEEE DOI 0810
BibRef
And:
View Independent Object Classification Based on Automated Ground Plane Rectification for Traffic Scene Surveillance,
VS08(xx-yy). 0810

See also Pyramidal Statistics of Oriented Filtering for robust pedestrian detection.
See also 3D model based vehicle localization by optimizing local gradient based fitness evaluation. BibRef

Hao, J., Li, C., Kim, Z., Xiong, Z.,
Spatio-Temporal Traffic Scene Modeling for Object Motion Detection,
ITS(14), No. 1, March 2013, pp. 295-302.
IEEE DOI 1303
BibRef

Wu, B.F., Kao, C.C., Juang, J.H., Huang, Y.S.,
A New Approach to Video-Based Traffic Surveillance Using Fuzzy Hybrid Information Inference Mechanism,
ITS(14), No. 1, March 2013, pp. 485-491.
IEEE DOI 1303
BibRef

Arrospide, J., Salgado, L.,
Log-Gabor Filters for Image-Based Vehicle Verification,
IP(22), No. 6, 2013, pp. 2286-2295.
IEEE DOI 1307
Gabor filters; traffic engineering computing; collision avoidance; vehicle detection BibRef

Milla, J.M., Toral, S.L., Vargas, M., Barrero, F.J.,
Dual-rate background subtraction approach for estimating traffic queue parameters in urban scenes,
IET-ITS(7), No. 1, 2013, pp. 122-130.
DOI Link 1307
BibRef

Meriem, B.[Boumehed], Belal, A.[Alshaqaqi], Abdelaziz, O.[Ouamri], Mokhtar, K.[Keche],
Moving Objects Localization by Local Regions Based Level Set: Application on Urban Traffic,
JMIV(46), No. 2, June 2013, pp. 258-274.
Springer DOI 1306
BibRef

Yang, M.T.[Mau-Tsuen], Jhang, R.K.[Rang-Kai], Hou, J.S.[Jia-Sheng],
Traffic flow estimation and vehicle-type classification using vision-based spatial-temporal profile analysis,
IET-CV(7), No. 5, October 2013, pp. 394-404.
DOI Link 1402
edge detection BibRef

Chen, Z.Z.[Ze-Zhi], Ellis, T.[Tim],
A self-adaptive Gaussian mixture model,
CVIU(122), No. 1, 2014, pp. 35-46.
Elsevier DOI 1404
BibRef
Earlier:
Multi-shape Descriptor Vehicle Classification for Urban Traffic,
DICTA11(456-461).
IEEE DOI 1205
BibRef
And:
Self-adaptive Gaussian mixture model for urban traffic monitoring system,
VS11(1769-1776).
IEEE DOI 1201
Background subtraction BibRef

Geiger, A., Lauer, M., Wojek, C., Stiller, C., Urtasun, R.,
3D Traffic Scene Understanding From Movable Platforms,
PAMI(36), No. 5, May 2014, pp. 1012-1025.
IEEE DOI 1405
Hidden Markov models BibRef

Lenz, P., Geiger, A., Urtasun, R.[Raquel],
FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation,
ICCV15(4364-4372)
IEEE DOI 1602
Benchmark testing BibRef

Chen, B.H.[Bo-Hao], Huang, S.C.[Shih-Chia],
An Advanced Moving Object Detection Algorithm for Automatic Traffic Monitoring in Real-World Limited Bandwidth Networks,
MultMed(16), No. 3, April 2014, pp. 837-847.
IEEE DOI 1405
intelligent transportation systems BibRef

Li, S.G.[Shu-Guang], Yu, H.K.[Hong-Kai], Zhang, J.R.[Jing-Ru], Yang, K.X.[Kai-Xin], Bin, R.[Ran],
Video-based traffic data collection system for multiple vehicle types,
IET-ITS(8), No. 2, March 2014, pp. 164-174.
DOI Link 1406
image classification BibRef

Yang, D., Chen, Y., Xin, L., Zhang, Y.,
Real-time detecting and tracking of traffic shockwaves based on weighted consensus information fusion in distributed video network,
IET-ITS(8), No. 4, June 2014, pp. 377-387.
DOI Link 1407
BibRef

Nicolas, H.[Henri], Brulin, M.[Mathieu],
Video traffic analysis using scene and vehicle models,
SP:IC(29), No. 8, 2014, pp. 807-830.
Elsevier DOI 1410
BibRef
And: A2, A1:
Scene model for video traffic analysis,
AVSS14(301-306)
IEEE DOI 1411
Traffic analysis Cameras BibRef

Nicolas, H.[Henri],
Object modeling and trajectory estimations for traffic analysis,
ICIP15(2715-2719)
IEEE DOI 1512
Traffic analysis; object model; trajectory BibRef

Brulin, M., Nicolas, H., Maillet, C.,
Video Surveillance Traffic Analysis Using Scene Geometry,
PSIVT10(450-455).
IEEE DOI 1011
BibRef

Wahlstrom, N., Hostettler, R., Gustafsson, F., Birk, W.,
Classification of Driving Direction in Traffic Surveillance Using Magnetometers,
ITS(15), No. 4, August 2014, pp. 1405-1418.
IEEE DOI 1410
computerised monitoring BibRef

Tian, B., Morris, B.T., Tang, M., Liu, Y., Yao, Y., Gou, C., Shen, D., Tang, S.,
Hierarchical and Networked Vehicle Surveillance in ITS: A Survey,
ITS(18), No. 1, January 2017, pp. 25-48.
IEEE DOI 1701
BibRef
Earlier: ITS(16), No. 2, April 2015, pp. 557-580.
IEEE DOI 1504
Cameras BibRef

An, Z.Y.[Zhen-Yu], Shi, Z.W.[Zhen-Wei], Wu, Y.[Ying], Zhang, C.S.[Chang-Shui],
A novel unsupervised approach to discovering regions of interest in traffic images,
PR(48), No. 8, 2015, pp. 2581-2591.
Elsevier DOI 1505
Image of traffic scene (ITS) BibRef

Andrienko, N.[Natalia], Andrienko, G.[Gennady], Rinzivillo, S.[Salvatore],
Exploiting Spatial Abstraction in Predictive Analytics of Vehicle Traffic,
IJGI(4), No. 2, 2015, pp. 591-606.
DOI Link 1505
BibRef

Bernas´, M., Placzek, B., Porwik, P., Pamula, T.,
Segmentation of vehicle detector data for improved k-nearest neighbours-based traffic flow prediction,
IET-ITS(9), No. 3, 2015, pp. 264-274.
DOI Link 1506
pattern classification BibRef

Mansouri, F.[Fatimaezzahra], Sadgal, M.[Mohamed], Elfazziki, A.[Abdelaziz], Benchikhi, I.[Ioubna],
An Evaluation of Perceptual Classification led by Cognitive Models in Traffic Scenes,
ELCVIA(14), No. 1, 2015, pp. xx-yy.
DOI Link 1506
BibRef

Lee, G.Y.[Gi-Young], Mallipeddi, R., Jang, G.J.[Gil-Jin], Lee, M.H.[Min-Ho],
A Genetic Algorithm-Based Moving Object Detection for Real-time Traffic Surveillance,
SPLetters(22), No. 10, October 2015, pp. 1619-1622.
IEEE DOI 1506
automobiles BibRef

Kachroo, P., Shlayan, N., Paz, A., Sastry, S., Patel, S.K.,
Model-Based Methodology for Validation of Traffic Flow Detectors by Minimizing Human Bias in Video Data Processing,
ITS(16), No. 4, August 2015, pp. 1851-1860.
IEEE DOI 1508
Detectors BibRef

Yue, H.[Hang], Rilett, L.R.[Laurence R.], Revesz, P.Z.[Peter Z.],
Spatio-temporal traffic video data archiving and retrieval system,
GeoInfo(20), No. 1, January 2016, pp. 59-94.
WWW Link. 1601
BibRef

Haesevoets, S.[Sofie], Kuijpers, B.[Bart], Revesz, P.Z.[Peter Z.],
Affine-Invariant Triangulation of Spatio-Temporal Data with an Application to Image Retrieval,
IJGI(6), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Li, Y., Liu, Y., Su, Y., Hua, G., Zheng, N.,
Three-Dimensional Traffic Scenes Simulation From Road Image Sequences,
ITS(17), No. 4, April 2016, pp. 1121-1134.
IEEE DOI 1604
Computational modeling BibRef

Hong, X.[Xin], Huang, Y.[Yan], Ma, W.J.[Wen-Jun], Varadarajan, S.[Sriram], Miller, P.[Paul], Liu, W.[Weiru], Santofimia Romero, M.J.[Maria Jose], del Rincon, J.M.[Jesus Martinez], Zhou, H.Y.[Hui-Yu],
Evidential event inference in transport video surveillance,
CVIU(144), No. 1, 2016, pp. 276-297.
Elsevier DOI 1604
Transport surveillance BibRef

Zaki, M.H., Sayed, T.,
Automated cyclist data collection under high density conditions,
IET-ITS(10), No. 5, 2016, pp. 361-369.
DOI Link 1608
computational geometry BibRef

Besse, P.C., Guillouet, B., Loubes, J.M., Royer, F.,
Review and Perspective for Distance-Based Clustering of Vehicle Trajectories,
ITS(17), No. 11, November 2016, pp. 3306-3317.
IEEE DOI 1609
Clustering methods BibRef

Tang, J., Jiang, H., Li, Z., Li, M., Liu, F., Wang, Y.,
A Two-Layer Model for Taxi Customer Searching Behaviors Using GPS Trajectory Data,
ITS(17), No. 11, November 2016, pp. 3318-3324.
IEEE DOI 1609
Analytical models BibRef

Idé, T., Katsuki, T., Morimura, T., Morris, R.,
City-Wide Traffic Flow Estimation From a Limited Number of Low-Quality Cameras,
ITS(18), No. 4, April 2017, pp. 950-959.
IEEE DOI 1704
Estimation BibRef

Engel, J.I., Martín, J., Barco, R.,
A Low-Complexity Vision-Based System for Real-Time Traffic Monitoring,
ITS(18), No. 5, May 2017, pp. 1279-1288.
IEEE DOI 1705
Cameras, Computers, Detectors, Monitoring, Real-time systems, Vehicles, Videos, image processing, traffic image analysis, traffic, information, systems BibRef

Sun, D.H.[Di-Hua], Zhao, H.Z.[Hong-Zhuan], Yue, H.[Hang], Zhao, M.[Min], Cheng, S.L.[Sen-Lin], Han, W.J.[Wei-Jian],
ST TD outlier detection,
IET-ITS(11), No. 4, May 2017, pp. 203-211.
DOI Link 1705
Spatio-Temporal Traffic data. BibRef

Hadiuzzaman, M.[Mohammad], Haque, N.[Nazmul], Rahman, F.[Fahmida], Hossain, S.[Sanjana], Siam, M.R.K.[Mohammad Rayeedul Kalam], Qiu, T.Z.[Tony Z.],
Pixel-based heterogeneous traffic measurement considering shadow and illumination variation,
SIViP(11), No. 7, October 2017, pp. 1245-1252.
Springer DOI 1708
BibRef

Yuan, Y.[Yuan], Lu, Y.W.[Yu-Wei], Wang, Q.[Qi],
Tracking as a Whole: Multi-Target Tracking by Modeling Group Behavior With Sequential Detection,
ITS(18), No. 12, December 2017, pp. 3339-3349.
IEEE DOI 1712
Adaptation models, Feature extraction, Roads, Shape, Target tracking, Vehicle detection, Videos, Multi-target, group behavior, vehicle detection BibRef

Peng, Y.[Yanan], Chen, Z.X.[Zhen-Xue], Wu, Q.M.J.[Q. M. Jonathan], Liu, C.Y.[Cheng-Yun],
Traffic flow detection and statistics via improved optical flow and connected region analysis,
SIViP(12), No. 1, January 2018, pp. 99-105.
Springer DOI 1801
BibRef

Guo, J.H.[Jian-Hua], Liu, Z.[Zhao], Huang, W.[Wei], Wei, Y.[Yun], Cao, J.[Jinde],
Short-term traffic flow prediction using fuzzy information granulation approach under different time intervals,
IET-ITS(12), No. 2, March 2018, pp. 143-150.
DOI Link 1801
BibRef

Jonaghani, R.F.[Rouzbeh Forouzandeh], Honarparvar, S.[Sepehr], Khademi, N.[Navid],
Short-Range Prediction of the Zone of Moving Vehicles in Arterial Networks,
IJGI(7), No. 1, 2018, pp. xx-yy.
DOI Link 1801
Moving object databases, predict future locations. BibRef

Polson, N., Sokolov, V.,
Bayesian Particle Tracking of Traffic Flows,
ITS(19), No. 2, February 2018, pp. 345-356.
IEEE DOI 1802
Bayes methods, Electric breakdown, Inference algorithms, Predictive models, Roads, Sensors, Switches, Traffic state, estimation, particle filter BibRef

Wang, Q., Ayalew, B.,
A Probabilistic Framework for Tracking the Formation and Evolution of Multi-Vehicle Groups in Public Traffic in the Presence of Observation Uncertainties,
ITS(19), No. 2, February 2018, pp. 560-571.
IEEE DOI 1802
Bayes methods, Estimation, Intelligent vehicles, Probabilistic logic, Shape, Tracking, Uncertainty, probabilistic collision criteria BibRef

Di, S., Zhang, H., Li, C.G., Mei, X., Prokhorov, D., Ling, H.,
Cross-Domain Traffic Scene Understanding: A Dense Correspondence-Based Transfer Learning Approach,
ITS(19), No. 3, March 2018, pp. 745-757.
IEEE DOI 1804
Feature extraction, Image segmentation, Lighting, Measurement, Meteorology, Semantics, Training, Traffic scene understanding, vehicle environment perception BibRef

Luo, Z., Jodoin, P.M., Su, S.Z., Li, S.Z., Larochelle, H.,
Traffic Analytics With Low-Frame-Rate Videos,
CirSysVideo(28), No. 4, April 2018, pp. 878-891.
IEEE DOI 1804
Automobiles, Cameras, Image segmentation, Neural networks, Roads, Videos, Convolutional neural network (CNN), traffic density, video surveillance BibRef

Chung, J., Sohn, K.,
Image-Based Learning to Measure Traffic Density Using a Deep Convolutional Neural Network,
ITS(19), No. 5, May 2018, pp. 1670-1675.
IEEE DOI 1805
Computational modeling, Density measurement, Detectors, Feature extraction, Neural networks, Roads, Training, vehicle counting BibRef

Li, L., Qian, B., Lian, J., Zheng, W., Zhou, Y.,
Traffic Scene Segmentation Based on RGB-D Image and Deep Learning,
ITS(19), No. 5, May 2018, pp. 1664-1669.
IEEE DOI 1805
Decoding, Feature extraction, Image segmentation, Machine learning, Network architecture, Semantics, Training, Deep learning, traffic scene segmentation BibRef

Lyu, S., Chang, M.C., Du, D., Wen, L., Qi, H., Li, Y., Wei, Y., Ke, L., Hu, T., del Coco, M., Carcagnì, P., Anisimov, D., Bochinski, E., Galasso, F., Bunyak, F., Han, G., Ye, H., Wang, H., Palaniappan, K., Ozcan, K., Wang, L., Wang, L., Lauer, M., Watcharapinchai, N., Song, N., Al-Shakarji, N.M., Wang, S., Amin, S., Rujikietgumjorn, S., Khanova, T., Sikora, T., Kutschbach, T., Eiselein, V., Tian, W., Xue, X., Yu, X., Lu, Y., Zheng, Y., Huang, Y., Zhang, Y.,
UA-DETRAC 2017: Report of AVSS2017 IWT4S Challenge on Advanced Traffic Monitoring,
AVSS17(1-7)
IEEE DOI 1806
object detection, object tracking, traffic engineering computing, video surveillance, AVSS2017 & IWT4S Challenge, Surveillance
See also UA-DETRAC Benchmark Suite. BibRef

Abbasifard, M.R., Naderi, H., Alamdari, O.I.[O. Isfahani],
Efficient Indexing For Past and Current Position of Moving Objects on Road Networks,
ITS(19), No. 9, September 2018, pp. 2789-2800.
IEEE DOI 1809
Indexing, Trajectory, Roads, Query processing, Visual databases, Data structures, indexing, moving object trajectory, spatio-temporal database BibRef

Ma, C.Y.[Chang-Yue], Liu, D.[Dong], Peng, X.L.[Xiu-Lian], Li, L.[Li], Wu, F.[Feng],
Traffic surveillance video coding with libraries of vehicles and background,
JVCIR(60), 2019, pp. 426-440.
Elsevier DOI 1903
Background, High Efficiency Video Coding (HEVC), Library-based coding, Traffic surveillance video, Vehicle BibRef

Yang, K.[Kun], Chen, F.D.[Fang-Dong], Liu, D.[Dong], Chen, Z.B.[Zhi-Bo], Li, W.P.[Wei-Ping],
Surveillance video coding with dynamic textural background detection,
ICIP17(2736-2740)
IEEE DOI 1803
Bit rate, Decoding, Dynamics, Encoding, Heuristic algorithms, Histograms, Surveillance, HEVC, HVS, detection, dynamic texture, surveillance video BibRef

Ahmadi, P., Tabandeh, M., Gholampour, I.,
Abnormal event detection and localisation in traffic videos based on group sparse topical coding,
IET-IP(10), No. 3, 2016, pp. 235-246.
DOI Link 1603
feature extraction BibRef

Ahmadi, P., Gholampour, I., Tabandeh, M.,
Employing Topical Relations in Semantic Analysis of Traffic Videos,
IEEE_Int_Sys(34), No. 1, January 2019, pp. 3-13.
IEEE DOI 1903
Videos, Analytical models, Event detection, Semantics, Intelligent systems, Image analysis, Object recognition, image processing and computer vision BibRef

Yuan, C., Yu, X., Li, D., Xi, Y.,
Overall Traffic Mode Prediction by VOMM Approach and AR Mining Algorithm With Large-Scale Data,
ITS(20), No. 4, April 2019, pp. 1508-1516.
IEEE DOI 1904
Roads, Data mining, Prediction algorithms, Urban areas, Mathematical model, Predictive models, Couplings, coupling traffic network BibRef

Mohebifard, R., Hajbabaie, A.,
Distributed Optimization and Coordination Algorithms for Dynamic Traffic Metering in Urban Street Networks,
ITS(20), No. 5, May 2019, pp. 1930-1941.
IEEE DOI 1905
Logic gates, Optimization, Heuristic algorithms, Vehicle dynamics, Real-time systems, Computational complexity, mixed-integer linear program BibRef

Santhosh, K.K., Dogra, D.P., Roy, P.P.,
Temporal Unknown Incremental Clustering Model for Analysis of Traffic Surveillance Videos,
ITS(20), No. 5, May 2019, pp. 1762-1773.
IEEE DOI 1905
Videos, Surveillance, Mixture models, Real-time systems, Trajectory, Automobiles, Data models, Dirichlet process, Gibbs sampling, real-time event detection BibRef

Fernández-Sanjurjo, M.[Mauro], Mucientes, M.[Manuel], Brea, V.M.[Víctor M.],
Real-Time Traffic Monitoring with Occlusion Handling,
IbPRIA19(II:273-284).
Springer DOI 1910
BibRef

Zhou, H.K.[Hou-Kui], Yu, H.M.[Hui-Min], Hu, R.[Roland], Zhang, G.Q.[Guang-Qun], Hu, J.G.[Jun-Guo], He, T.[Tao],
Analyzing multiple types of behaviors from traffic videos via nonparametric topic model,
JVCIR(64), 2019, pp. 102649.
Elsevier DOI 1911
Nonparametric topic model, Motion pattern, Traffic pattern, Abnormality detection, Beta negative binomial process, Possion factor analysis BibRef

Mhalla, A., Chateau, T., Gazzah, S., Amara, N.E.B.,
An Embedded Computer-Vision System for Multi-Object Detection in Traffic Surveillance,
ITS(20), No. 11, November 2019, pp. 4006-4018.
IEEE DOI 1911
Detectors, Surveillance, Object detection, Training, Embedded systems, Traffic surveillance, traffic object detection BibRef

Kumaran, S.K.[Santhosh Kelathodi], Chakravarty, A.[Adyasha], Dogra, D.P.[Debi Prosad], Roy, P.P.[Partha Pratim],
Likelihood learning in modified Dirichlet Process Mixture Model for video analysis,
PRL(128), 2019, pp. 211-219.
Elsevier DOI 1912
Dirichlet Process Mixture Model, Unsupervised learning, Statistical machine learning, Bayesian inference, Traffic analysis BibRef

Tian, W., Lauer, M., Chen, L.,
Online Multi-Object Tracking Using Joint Domain Information in Traffic Scenarios,
ITS(21), No. 1, January 2020, pp. 374-384.
IEEE DOI 2001
Target tracking, Cameras, Task analysis, Real-time systems, Image edge detection, Trajectory, Multi-object tracking, structural and temporal domain BibRef

Sikiric, I., Brkic, K., Bevandic, P., Krešo, I., Krapac, J., Šegvic, S.,
Traffic Scene Classification on a Representation Budget,
ITS(21), No. 1, January 2020, pp. 336-345.
IEEE DOI 2001
Visualization, Training, Feature extraction, Image representation, Servers, Global Positioning System, Architecture, image classification BibRef

Garg, K., Ramakrishnan, N., Prakash, A., Srikanthan, T.,
Rapid and Robust Background Modeling Technique for Low-Cost Road Traffic Surveillance Systems,
ITS(21), No. 5, May 2020, pp. 2204-2215.
IEEE DOI 2005
Roads, Computational modeling, Surveillance, Adaptation models, Real-time systems, Cameras, Lighting, Traffic surveillance, Bayesian framework BibRef

Athanesious, J.[Joshan], Srinivasan, V.[Vasuhi], Vijayakumar, V.[Vaidehi], Christobel, S.[Shiny], Sethuraman, S.C.[Sibi Chakkaravarthy],
Detecting abnormal events in traffic video surveillance using superorientation optical flow feature,
IET-IPR(14), No. 9, 20 July 2020, pp. 1881-1891.
DOI Link 2007
BibRef

Ahmed, S.A., Dogra, D.P., Kar, S., Patnaik, R., Lee, S., Choi, H., Nam, G.P., Kim, I.,
Query-Based Video Synopsis for Intelligent Traffic Monitoring Applications,
ITS(21), No. 8, August 2020, pp. 3457-3468.
IEEE DOI 2008
Electron tubes, Surveillance, Intelligent transportation systems, Trajectory, Streaming media, Target tracking, Surveillance, query video BibRef

Yao, J.X.[Jing-Xuan], Ye, Y.T.[Yun-Tao],
The effect of image recognition traffic prediction method under deep learning and naive Bayes algorithm on freeway traffic safety,
IVC(103), 2020, pp. 103971.
Elsevier DOI 2011
Deep learning, LSTM, Naive Bayes, Traffic flow prediction, Image processing BibRef

Aleksander, R.[Rydzewski], Pawel, C.[Czarnul],
Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms,
IET-ITS(14), No. 13, 15 December 2020, pp. 1740-1758.
DOI Link 2102
Survey, Traffic. BibRef

Zou, H.C.[Hao-Chen], Cao, K.[Keyan], Jiang, C.[Chong],
Spatio-Temporal Visual Analysis for Urban Traffic Characters Based on Video Surveillance Camera Data,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Pan, S., Li, P., Yi, C., Zeng, D., Liang, Y.C., Hu, G.,
Edge Intelligence Empowered Urban Traffic Monitoring: A Network Tomography Perspective,
ITS(22), No. 4, April 2021, pp. 2198-2211.
IEEE DOI 2104
Monitoring, Tomography, Roads, Videos, Cameras, Detectors, Telecommunications, Traffic monitoring, network tomography, edge intelligence BibRef

Cao, M.W.[Ming-Wei], Zheng, L.P.[Li-Ping], Jia, W.[Wei], Liu, X.P.[Xiao-Ping],
Joint 3D Reconstruction and Object Tracking for Traffic Video Analysis Under IoV Environment,
ITS(22), No. 6, June 2021, pp. 3577-3591.
IEEE DOI 2106
Aircraft, Aircraft propulsion, Fuels, Batteries, Fans, Hybrid power systems, 3D reconstruction, object detection, intelligent transportation BibRef

Wu, Y.C.[Ying-Cai], Weng, D.[Di], Deng, Z.[Zikun], Bao, J.[Jie], Xu, M.L.[Ming-Liang], Wang, Z.Y.[Zhang-Ye], Zheng, Y.[Yu], Ding, Z.Y.[Zhi-Yu], Chen, W.[Wei],
Towards Better Detection and Analysis of Massive Spatiotemporal Co-Occurrence Patterns,
ITS(22), No. 6, June 2021, pp. 3387-3402.
IEEE DOI 2106
Data visualization, Spatiotemporal phenomena, Data mining, Transportation, Meteorology, Visualization, Correlation, co-occurrence pattern analysis BibRef

Liu, H.Q.[Hai-Qing], Teng, K.[Kunmin], Rai, L.[Laxmisha], Zhang, Y.[Yu], Wang, S.L.[Sheng-Li],
A two-step abnormal data analysis and processing method for millimetre-wave radar in traffic flow detection applications,
IET-ITS(15), No. 5, 2021, pp. 671-682.
DOI Link 2106
BibRef

Soriguera, F.[Francesc], Martínez-Díaz, M.[Margarita],
Freeway Travel Time Information From Input- Output Vehicle Counts: A Drift Correction Method Based on AVI Data,
ITS(22), No. 9, September 2021, pp. 5749-5761.
IEEE DOI 2109
Detectors, Surveillance, Time measurement, Estimation, Data integration, Traffic control, Real-time systems, traffic information systems BibRef

Nguyen, T.P.[Tien-Phat], Tran-Le, B.T.[Ba-Thinh], Thai, X.D.[Xuan-Dang], Nguyen, T.V.[Tam V.], Do, M.N.[Minh N.], Tran, M.T.[Minh-Triet],
Traffic Video Event Retrieval via Text Query using Vehicle Appearance and Motion Attributes,
AICity21(4160-4167)
IEEE DOI 2109
Visualization, Tracking, Urban areas, Semantics BibRef

Zhang, B.[Bo], Zhang, J.[Jian],
A Traffic Surveillance System for Obtaining Comprehensive Information of the Passing Vehicles Based on Instance Segmentation,
ITS(22), No. 11, November 2021, pp. 7040-7055.
IEEE DOI 2112
Axles, Cameras, Wheels, Surveillance, Sensors, Roads, Instance segmentation, Mask R-CNN, vehicle type, traffic surveillance system BibRef

Butila, E.V.[Eugen Valentin], Boboc, R.G.[Razvan Gabriel],
Urban Traffic Monitoring and Analysis Using Unmanned Aerial Vehicles (UAVs): A Systematic Literature Review,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Song, C.[Can], Wu, J.[Jin], Zhu, L.[Lei], Zhang, M.[Mei], Ling, H.B.[Hai-Bin],
Nighttime Road Scene Parsing by Unsupervised Domain Adaptation,
ITS(23), No. 4, April 2022, pp. 3244-3255.
IEEE DOI 2204
Image segmentation, Semantics, Roads, Feature extraction, Task analysis, Lighting, Annotations, Transfer learning, generative adversarial network BibRef

Li, Z.R.[Zi-Rui], Lu, C.[Chao], Yi, Y.T.[Yang-Tian], Gong, J.W.[Jian-Wei],
A Hierarchical Framework for Interactive Behaviour Prediction of Heterogeneous Traffic Participants Based on Graph Neural Network,
ITS(23), No. 7, July 2022, pp. 9102-9114.
IEEE DOI 2207
Trajectory, Predictive models, Hidden Markov models, Vehicle dynamics, Time series analysis, Correlation, Urban areas, heterogeneous traffic participants BibRef

Bhat, P.G.[Pranab Gajanan], Subudhi, B.N.[Badri Narayan], Veerakumar, T., Esakkirajan, S.,
A Fully Automatic Feature-Based Real-Time Traffic Surveillance System Using Data Association in the Probabilistic Framework,
ITS(23), No. 8, August 2022, pp. 11088-11097.
IEEE DOI 2208
Target tracking, Feature extraction, Mathematical model, Adaptation models, Real-time systems, Image color analysis, data association BibRef

Perafan-Villota, J.C.[Juan C.], Mondragon, O.H.[Oscar H.], Mayor-Toro, W.M.[Walter M.],
Fast and Precise: Parallel Processing of Vehicle Traffic Videos Using Big Data Analytics,
ITS(23), No. 8, August 2022, pp. 12064-12073.
IEEE DOI 2208
BibRef
And: Correction: ITS(23), No. 8, August 2022, pp. 13911-13911.
IEEE DOI 2208
Videos, Accidents, Cameras, Feature extraction, Big Data, Sparks, Accident detection, big data, convolutional neural network, You Only Look Once (YOLO) BibRef

Sun, Y.J.[Yan-Jie], Wu, M.G.[Ming-Guang], Liu, X.Y.[Xiao-Yan], Zhou, L.C.[Liang-Chen],
High-Precision Dynamic Traffic Noise Mapping Based on Road Surveillance Video,
IJGI(11), No. 8, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Zhang, X.C.[Xing-Chen], Feng, Y.X.[Yu-Xiang], Angeloudis, P.[Panagiotis], Demiris, Y.F.[Yi-Fannis],
Monocular Visual Traffic Surveillance: A Review,
ITS(23), No. 9, September 2022, pp. 14148-14165.
IEEE DOI 2209
Surveillance, Visualization, Object detection, Cameras, Calibration, Accidents, Velocity measurement, Visual traffic surveillance, accident prediction BibRef

Kumar, A.[Ashutosh], Kashiyama, T.[Takehiro], Maeda, H.[Hiroya], Omata, H.[Hiroshi], Sekimoto, Y.[Yoshihide],
Real-time citywide reconstruction of traffic flow from moving cameras on lightweight edge devices,
PandRS(192), 2022, pp. 115-129.
Elsevier DOI 2209
Edge computing, ITS, Traffic flow, Vehicle detection BibRef

Yang, B.[Bo], Zhang, H.[Hua], Chen, Y.R.[Yu-Rong], Zhou, Y.J.[Yong-Jun], Peng, Y.[Yu],
Urban Traffic Imaging Using Millimeter-Wave Radar,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Chen, J.[Jing], Wang, Q.C.[Qi-Chao], Cheng, H.H.[Harry H.], Peng, W.M.[Wei-Ming], Xu, W.Q.[Wen-Qiang],
A Review of Vision-Based Traffic Semantic Understanding in ITSs,
ITS(23), No. 11, November 2022, pp. 19954-19979.
IEEE DOI 2212
Behavioral sciences, Roads, Semantics, Cameras, Visualization, Estimation, Spatiotemporal phenomena, computer vision BibRef

Gao, E.[Erfeng], Huang, W.G.[Wei-Guo], Shi, J.J.[Juan-Juan], Wang, X.[Xiang], Zheng, J.Y.[Jian-Ying], Du, G.F.[Gui-Fu], Tao, Y.[Yanyun],
Long-Tailed Traffic Sign Detection Using Attentive Fusion and Hierarchical Group Softmax,
ITS(23), No. 12, December 2022, pp. 24105-24115.
IEEE DOI 2212
Feature extraction, Tail, Object detection, Fuses, Image color analysis, Convolution, Training, long-tailed detection BibRef

Xu, X.[Xiuqin], Lin, M.W.[Ming-Wei], Luo, X.[Xin], Xu, Z.[Zeshui],
HRST-LR: A Hessian Regularization Spatio-Temporal Low Rank Algorithm for Traffic Data Imputation,
ITS(24), No. 10, October 2023, pp. 11001-11017.
IEEE DOI 2310
BibRef

Zhang, J.W.[Jia-Wei], Chang, C.[Cheng], He, Z.M.[Zi-Min], Zhong, W.Q.[Wen-Qin], Yao, D.[Danya], Li, S.[Shen], Li, L.[Li],
CAVSim: A Microscopic Traffic Simulator for Evaluation of Connected and Automated Vehicles,
ITS(24), No. 9, September 2023, pp. 10038-10054.
IEEE DOI 2310
BibRef

Li, X.H.[Xiao-He], Wu, J.P.[Jian-Ping],
Developing a More Reliable Framework for Extracting Traffic Data From a UAV Video,
ITS(24), No. 11, November 2023, pp. 12272-12283.
IEEE DOI 2311
BibRef

Zhao, C.G.[Chen-Guang], Yu, H.[Huan],
Observer-Informed Deep Learning for Traffic State Estimation With Boundary Sensing,
ITS(25), No. 2, February 2024, pp. 1602-1611.
IEEE DOI 2402
Observers, Deep learning, Adaptation models, Estimation error, Roads, Data models, Artificial neural networks, observer-informed deep learning BibRef

Wang, T.[Tong], Huang, P.F.[Pan-Feng], Dong, G.Q.[Gang-Qi], Zhao, Y.[Yu],
A Diffusion-Based Reactive Approach to Road Network Cooperative Persistent Surveillance,
ITS(25), No. 5, May 2024, pp. 4265-4277.
IEEE DOI 2405
Planning, Surveillance, Roads, Cognition, Robot sensing systems, Robot kinematics, Computational modeling, road network BibRef

Huang, P.[Ping], Ding, H.T.[Hai-Tao], Chen, H.[Hong],
An entropy-based model for quantifying multi-dimensional traffic scenario complexity,
IET-ITS(18), No. 7, 2024, pp. 1289-1305.
DOI Link 2407
autonomous driving, traffic modeling, management and control BibRef

Zhang, Y.[Yimei], Kong, X.J.[Xiang-Jie], Zhou, W.F.[Wen-Feng], Liu, J.[Jin], Fu, Y.J.[Yan-Jie], Shen, G.J.[Guo-Jiang],
A Comprehensive Survey on Traffic Missing Data Imputation,
ITS(25), No. 12, December 2024, pp. 19252-19275.
IEEE DOI 2412
Imputation, Data models, Measurement, Transportation, Surveys, Accuracy, Reviews, Predictive models, Fluctuations, surveys BibRef

Cheng, S.K.[Shao-Kang], Osman, N.[Nada], Qu, S.[Shiru], Ballan, L.[Lamberto],
FastSTI: A Fast Conditional Pseudo Numerical Diffusion Model for Spatio-Temporal Traffic Data Imputation,
ITS(25), No. 12, December 2024, pp. 20547-20560.
IEEE DOI 2412
Imputation, Diffusion models, Data models, Spatiotemporal phenomena, Numerical models, Correlation, fast sampling BibRef

Liu, X.[Xin], Meng, Q.[Qiao], Li, X.[Xin], Wang, Z.J.[Zhi-Jie], Kong, S.Y.[Si-Yuan], Li, B.[Bingyu],
An innovative traffic flow detection model based on temporal video frame analysis and grayscale aggregation quantification,
IET-IPR(18), No. 14, 2024, pp. 4704-4715.
DOI Link 2501
alarm systems, C++ language, image processing, road traffic, road safety, road vehicles BibRef

Chang, W.J.[Wei-Jer], Pittaluga, F.[Francesco], Tomizuka, M.[Masayoshi], Zhan, W.[Wei], Chandraker, M.[Manmohan],
Safe-sim: Safety-critical Closed-loop Traffic Simulation with Diffusion-controllable Adversaries,
ECCV24(XXI: 242-258).
Springer DOI 2412
BibRef

Hellekes, J.[Jens], Mühlhaus, M.[Manuel], Bahmanyar, R.[Reza], Azimi, S.M.[Seyed Majid], Kurz, F.[Franz],
Vetra: A Dataset for Vehicle Tracking in Aerial Imagery: New Challenges for Multi-object Tracking,
ECCV24(LXXXV: 52-70).
Springer DOI 2412
BibRef

Humnabadkar, A.[Aditya], Sikdar, A.[Arindam], Zhang, H.Z.[Huai-Zhong], Hussain, T.[Tanveer], Behera, A.[Ardhendu],
Driving Through Graphs: a Bipartite Graph for Traffic Scene Analysis,
ICIP24(908-914)
IEEE DOI Code:
WWW Link. 2411
Measurement, Analytical models, Technological innovation, Image analysis, Image edge detection, Feature extraction, and bipartite graphs BibRef

Cao, X.[Xu], Zhou, T.[Tong], Ma, Y.S.[Yun-Sheng], Ye, W.Q.[Wen-Qian], Cui, C.[Can], Tang, K.[Kun], Cao, Z.P.[Zhi-Peng], Liang, K.[Kaizhao], Wang, Z.[Ziran], Rehg, J.M.[James M.], Zheng, C.[Chao],
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding,
CVPR24(21819-21830)
IEEE DOI 2410
Point cloud compression, Visualization, Solid modeling, Laser radar, Large language models, Benchmark testing, Multimodal Learning BibRef

Verma, A.A.[Aayush Atul], Chakravarthi, B.[Bharatesh], Vaghela, A.[Arpitsinh], Wei, H.[Hua], Yang, Y.Z.[Ye-Zhou],
eTraM: Event-Based Traffic Monitoring Dataset,
CVPR24(22637-22646)
IEEE DOI Code:
WWW Link. 2410
Annotations, Lighting, Dynamic range, Cameras, Sensors, Vehicle dynamics, Event-based, Event-camera, ITS BibRef

To, T.A.[Tuan-An], Tran, M.N.[Minh-Nam], Ho, T.B.[Trong-Bao], Ha, T.L.[Thien-Loc], Nguyen, Q.T.[Quang-Tan], Luong, H.C.[Hoang-Chau], Cao, T.D.[Thanh-Duy], Tran, M.T.[Minh-Triet],
Multi-perspective Traffic Video Description Model with Fine-grained Refinement Approach,
AICity24(7075-7084)
IEEE DOI Code:
WWW Link. 2410
Visualization, Analytical models, Video description, Urban areas, Traffic control, Cameras, Weaving, multi-perspective, AI City Challenge 2024 BibRef

Dinh, Q.M.[Quang Minh], Ho, M.K.[Minh Khoi], Dang, A.Q.[Anh Quan], Tran, H.P.[Hung Phong],
TrafficVLM: A Controllable Visual Language Model for Traffic Video Captioning,
AICity24(7134-7143)
IEEE DOI Code:
WWW Link. 2410
Analytical models, Visualization, Pedestrians, Surveillance, Urban areas, Traffic control, Cameras BibRef

Kung, C.H.[Chi-Hsi], Lu, S.W.[Shu-Wei], Tsai, Y.H.[Yi-Hsuan], Chen, Y.[YiTing],
Action-Slot: Visual Action-Centric Representations for Multi-Label Atomic Activity Recognition in Traffic Scenes,
CVPR24(18451-18461)
IEEE DOI Code:
WWW Link. 2410
Training, Visualization, Source coding, Roads, Activity recognition, Videos, Action Recognition, Slot Attention, Video Understanding, Autonomous Driving BibRef

Vuong, K.[Khiem], Tamburo, R.[Robert], Narasimhan, S.G.[Srinivasa G.],
Toward Planet-Wide Traffic Camera Calibration,
WACV24(8538-8547)
IEEE DOI 2404
Location awareness, Solid modeling, Cameras, Distance measurement, Calibration, Applications, Social good, Algorithms, Autonomous Driving BibRef

Guo, Y.F.[Yun-Fei], Yin, F.[Fei], Li, X.H.[Xiao-Hui], Yan, X.D.[Xu-Dong], Xue, T.[Tao], Mei, S.Q.[Shu-Qi], Liu, C.L.[Cheng-Lin],
Visual Traffic Knowledge Graph Generation from Scene Images,
ICCV23(21547-21556)
IEEE DOI Code:
HTML Version. 2401
BibRef

Agarwal, N.[Nakul], Chen, Y.T.[Yi-Ting],
Ordered Atomic Activity for Fine-grained Interactive Traffic Scenario Understanding,
ICCV23(8590-8602)
IEEE DOI 2401
BibRef

Goyal, A.[Aman], Agarwal, D.[Dev], Subramanian, A.[Anbumani], Jawahar, C.V., Sarvadevabhatla, R.K.[Ravi Kiran], Saluja, R.[Rohit],
Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads,
UG22(4302-4311)
IEEE DOI 2210
Head, Road accidents, Surveillance, Urban areas, Motorcycles, Cameras, Robustness BibRef

Mentasti, S.[Simone], Kambale, A.W.[Abednego Wamuhindo], Matteucci, M.[Matteo],
Event-Based Object Detection and Tracking: A Traffic Monitoring Use Case,
Binary22(95-106).
Springer DOI 2208
BibRef

Omidi, A.[Abbas], Heydarian, A.[Amirhossein], Mohammadshahi, A.[Aida], Beirami, B.A.[Behnam Asghari], Haddadi, F.[Farzan],
An Embedded Deep Learning-based Package for Traffic Law Enforcement,
DSC21(262-271)
IEEE DOI 2112
Deep learning, Road transportation, Training, Law enforcement, Computational modeling, Licenses, Cameras BibRef

Tan, S.H.[Shu-Han], Wong, K.[Kelvin], Wang, S.L.[Shen-Long], Manivasagam, S.[Sivabalan], Ren, M.Y.[Meng-Ye], Urtasun, R.[Raquel],
SceneGen: Learning to Generate Realistic Traffic Scenes,
CVPR21(892-901)
IEEE DOI 2111
Computational modeling, Complexity theory BibRef

Shim, K.[Kyujin], Yoon, S.[Sungjoon], Ko, K.[Kangwook], Kim, C.[Changick],
Multi-Target Multi-Camera Vehicle Tracking for City-Scale Traffic Management,
AICity21(4188-4195)
IEEE DOI 2109
Urban planning, Pipelines, Transportation, Cameras, Feature extraction, Prediction algorithms BibRef

Zernetsch, S.[Stefan], Schreck, S.[Steven], Kress, V.[Viktor], Doll, K.[Konrad], Sick, B.[Bernhard],
Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution,
ICPR21(2620-2626)
IEEE DOI 2105
Image resolution, Image recognition, Roads, Video sequences, Image sequences BibRef

Wang, K.[Kesu], Chen, J.[Jing], Liao, S.J.[Shi-Jie], Hou, J.X.[Jia-Xin], Xiong, Q.Y.[Qing-Yu],
Geographic-Semantic-Temporal Hypergraph Convolutional Network for Traffic Flow Prediction,
ICPR21(5444-5450)
IEEE DOI 2105
Deep learning, Measurement, Correlation, Recurrent neural networks, Convolution, Semantics, Predictive models BibRef

Ahrnbom, M.[Martin], Nilsson, M.[Mikael], Ardö, H.[Håkan], Åström, K.[Kalle], Yastremska-Kravchenko, O.[Oksana], Laureshyn, A.[Aliaksei],
Calibration and Absolute Pose Estimation of Trinocular Linear Camera Array for Smart City Applications,
ICPR21(103-110)
IEEE DOI 2105
Coordinate measuring machines, Smart cities, Surveillance, Roads, Traffic control, Cameras BibRef

Nine, J.[Julkar], Manoharan, S.[Shanmugapriyan], Sapkota, M.[Manoj], Saleh, S.[Shadi], Hardt, W.[Wolfram],
Highway Traffic Classification for the Perception Level of Situation Awareness,
ISVC20(II:286-297).
Springer DOI 2103
BibRef

Liu, X.X.[Xiao-Xu], Yan, W.Q.[Wei Qi], Kasabov, N.[Nikola],
Vehicle-Related Scene Segmentation Using CapsNets,
IVCNZ20(1-6)
IEEE DOI 2012
Training, Deep learning, Image segmentation, Computational modeling, Training data, CapsNet, scene segmentation, traffic scenes BibRef

Chang, M., Chiang, C., Tsai, C., Chang, Y., Chiang, H., Wang, Y., Chang, S., Li, Y., Tsai, M., Tseng, H.,
AI City Challenge 2020: Computer Vision for Smart Transportation Applications,
City20(2638-2647)
IEEE DOI 2008
Tracking, Cameras, Feature extraction, Artificial intelligence, Vehicle detection, Trajectory, Urban areas BibRef

Naphade, M., Wang, S., Anastasiu, D.C., Tang, Z., Chang, M., Yang, X., Zheng, L., Sharma, A., Chellappa, R., Chakraborty, P.,
The 4th AI City Challenge,
City20(2665-2674)
IEEE DOI 2008
Cameras, Urban areas, Task analysis, Artificial intelligence, Training, Transportation, Feeds BibRef

Mohammadi, M., Tabib Mahmoudi, F., Hedayatifard, M.,
Automatic Vehicle Recognition for Urban Traffic Management,
SMPR19(741-744).
DOI Link 1912
BibRef

Chen, P., Hsieh, J., Gochoo, M., Wang, C., Liao, H.M.,
Smaller Object Detection for Real-Time Embedded Traffic Flow Estimation Using Fish-Eye Cameras,
ICIP19(2956-2960)
IEEE DOI 1910
Small object detection, YOLOv3, traffic flow estimation, fish-eye camera, edge computing BibRef

Feng, W., Ji, D., Wang, Y., Chang, S., Ren, H., Gan, W.,
Challenges on Large Scale Surveillance Video Analysis,
City18(69-697)
IEEE DOI 1812
Roads, Target tracking, Task analysis, Feature extraction, Cameras, Trajectory, Surveillance BibRef

Mao, T., Zhang, W., He, H., Lin, Y., Kale, V., Stein, A., Kostic, Z.,
AIC2018 Report: Traffic Surveillance Research,
City18(85-857)
IEEE DOI 1812
Cameras, Estimation, Tracking, Detectors, Vehicle detection, Roads BibRef

Shi, H., Wang, Z., Zhang, Y., Wang, X., Huang, T.,
Geometry-Aware Traffic Flow Analysis by Detection and Tracking,
City18(116-1164)
IEEE DOI 1812
Videos, Roads, Cameras, Estimation, Tracking, Artificial intelligence BibRef

Shirazi, M.S.[Mohammad Shokrolah], Morris, B.[Brendan],
Traffic Flow Classification Using Traffic Cameras,
ISVC18(758-767).
Springer DOI 1811
BibRef

Tian, W.[Wei], Lauer, M.[Martin],
Joint tracking with event grouping and temporal constraints,
AVSS17(1-5)
IEEE DOI 1806
graph theory, image matching, image motion analysis, image resolution, image sequences, Trajectory BibRef

Gu, Q.[Qin], Yang, J.Y.[Jian-Yu], Yan, W.Q.[Wei Qi], Li, Y.Q.[Yan-Qiang], Klette, R.[Reinhard],
Local Fast R-CNN Flow for Object-Centric Event Recognition in Complex Traffic Scenes,
PSIVTWS17(439-452).
Springer DOI 1806
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Gu, Q.[Qin], Yang, J.Y.[Jian-Yu], Yan, W.Q.[Wei Qi], Klette, R.[Reinhard],
Integrated Multi-scale Event Verification in an Augmented Foreground Motion Space,
PSIVT17(488-500).
Springer DOI 1802
BibRef

Neuhold, G.[Gerhard], Ollmann, T.[Tobias], Bulò, S.R.[Samuel Rota], Kontschieder, P.[Peter],
The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes,
ICCV17(5000-5009)
IEEE DOI 1802
Dataset, Traffic. 25,000 images, 66 categories. computational geometry, data visualisation, image annotation, image resolution, image segmentation, road traffic, Visualization BibRef

Zhang, S.H.[Shang-Hang], Wu, G., Costeira, J.P., Moura, J.M.F.[Jose M.F.],
Understanding Traffic Density from Large-Scale Web Camera Data,
CVPR17(4264-4273)
IEEE DOI 1711
Estimation, Feature extraction, Image resolution, Optimization, Videos, Webcams BibRef

Toropov, E.[Evgeny], Gui, L.Y.[Liang-Yan], Zhang, S.H.[Shang-Hang], Kottur, S.[Satwik], Moura, J.M.F.[Jose M.F.],
Traffic flow from a low frame rate city camera,
ICIP15(3802-3806)
IEEE DOI 1512
BibRef

Corral-Soto, E.R., Elder, J.H.[James H.],
Slot Cars: 3D Modelling for Improved Visual Traffic Analytics,
Traffic17(889-897)
IEEE DOI 1709
Cameras, Geometry, Image segmentation, Road transportation, Shape, Solid modeling. BibRef

Wang, T., He, X., Su, S., Guan, Y.,
Efficient Scene Layout Aware Object Detection for Traffic Surveillance,
Traffic17(926-933)
IEEE DOI 1709
Context modeling, Databases, Detectors, Layout, Nickel, Object detection, Surveillance BibRef

Raymond, R., Imamichi, T.,
Bus trajectory identification by map-matching,
ICPR16(1618-1623)
IEEE DOI 1705
Geospatial analysis, Global Positioning System, Hidden Markov models, Noise measurement, Roads, Trajectory, Urban, areas BibRef

Kristoffersen, M.S., Dueholm, J.V., Satzoda, R.K., Trivedi, M.M., Møgelmose, A., Moeslund, T.B.,
Towards Semantic Understanding of Surrounding Vehicular Maneuvers: A Panoramic Vision-Based Framework for Real-World Highway Studies,
Traffic16(1584-1591)
IEEE DOI 1612
BibRef

Klos, M.J.[Marcin Jacek],
Determination of Road Traffic Flow Based on 3D Daubechies Wavelet Transform of an Image Sequence,
ICCVG16(573-580).
Springer DOI 1611
BibRef

Chen, C.Y., Choi, W., Chandraker, M.,
Atomic scenes for scalable traffic scene recognition in monocular videos,
WACV16(1-9)
IEEE DOI 1606
Atomic layer deposition BibRef

Garg, K., Lam, S.K.[Siew Kei], Srikanthan, T.[Thambipillai], Agarwal, V.,
Real-time road traffic density estimation using block variance,
WACV16(1-9)
IEEE DOI 1606
Cameras BibRef

Luo, Z.M.[Zhi-Ming], Jodoin, P.M.[Pierre-Marc], Li, S.Z.[Shao-Zi], Su, S.Z.[Song-Zhi],
Traffic analysis without motion features,
ICIP15(3290-3294)
IEEE DOI 1512
SVM; Traffic analysis; codebook; convolutional neural network BibRef

Intawong, K., Scuturici, M., Miguet, S.,
Detection of entry and exit zones in image sequences for automatic traffic analysis,
AVSS15(1-6)
IEEE DOI 1511
image sequences BibRef

Cheng, H.Y.[Hsu-Yung], Tsai, L.W.[Luo-Wei],
Balancing robustness and information abundance via self-diagnosing in traffic surveillance video analysis,
AVSS15(1-6)
IEEE DOI 1511
regression analysis BibRef

Kruthiventi, S.S.S.[Srinivas S. S.], Babu, R.V.[R. Venkatesh],
Dominant flow extraction and analysis in traffic surveillance videos,
Crowd15(63-71)
IEEE DOI 1510
Cameras BibRef

Jang, H.[Hyeok], Yang, H.J.[Hun-Jun], Jeong, D.S.[Dong-Seok], Lee, H.[Hun],
Object classification using CNN for video traffic detection system,
FCV15(1-4)
IEEE DOI 1506
image classification BibRef

Kim, S.[Sangkyoon], Park, S.[Soonyoung], Choi, K.[Kyoungho],
A system architecture for real time traffic monitoring in foggy video,
FCV15(1-4)
IEEE DOI 1506
computerised monitoring BibRef

Jiang, T.T.[Ting-Ting], Zhang, Z.[Zhao], Xu, Y.S.[Yuan-Sheng], Bai, Y.C.[Yi-Chong], Wang, Y.Z.[Yi-Zhou],
First-person multiple object tracking in complex traffic scenes,
ICIP14(2343-2347)
IEEE DOI 1502
Cameras BibRef

Ming, A.[Anlong], Liu, L.[Liang], Li, P.J.[Peng-Jie], Yang, Q.[Qin],
Real-Time 3D Reconstruction of Traffic Scenes Under an Images-to-Model Framework,
ISVC14(I: 763-772).
Springer DOI 1501
BibRef

Krishna, M.V.[Mahesh Venkata], Denzler, J.[Joachim],
A combination of generative and discriminative models for fast unsupervised activity recognition from traffic scene videos,
WACV14(640-645)
IEEE DOI 1406
Accuracy BibRef

Then, Y.B.[Yao Bin], Tay, Y.H.[Yong Haur], Ho, W.T.[Wing Teng],
Estimating traffic condition using just a single image,
ICIP13(3331-3335)
IEEE DOI 1402
FAST;SURF;keypoint detection;multilayer perceptron;traffic estimation BibRef

Mo, Y.[Yi], Zhang, Z.X.[Zhao-Xiang], Wang, Y.H.[Yun-Hong],
Enhancing cross-view object classification by feature-based transfer learning,
ICPR12(2218-2221).
WWW Link. 1302
BibRef
And:
Cross-view object classification in traffic scene surveillance based on transductive transfer learning,
ICIP12(477-480).
IEEE DOI 1302
BibRef

Zhang, Z.X.[Zhao-Xiang], Qin, J.[Jie], Wang, Y.H.[Yun-Hong], Liang, M.[Meng],
Object Classification in Traffic Scene Surveillance Based on Online Semi-supervised Active Learning,
ICPR14(3086-3091)
IEEE DOI 1412
Accuracy BibRef

Liang, M.[Meng], Zhang, Z.X.[Zhao-Xiang], Wang, Y.H.[Yun-Hong],
Semi-supervised learning in traffic scene surveillance based on label-propagation,
ICIP13(4317-4320)
IEEE DOI 1402
label propagation BibRef

Battiato, S.[Sebastiano], Cafiso, S.[Stefano],
Road Traffic Conflict Analysis from Geo-referenced Stereo Sequences,
CIAP13(I:381-390).
Springer DOI 1311
BibRef

Koschorrek, P.[Philipp], Piccini, T.[Tommaso], Oberg, P.[Per], Felsberg, M.[Michael], Nielsen, L.[Lars], Mester, R.[Rudolf],
A Multi-sensor Traffic Scene Dataset with Omnidirectional Video,
GT13(727-734)
IEEE DOI 1309
Dataset, Traffic. automotive BibRef

Yoon, J.W.[Ji Won], Tchrakian, T.T.[Tigran T.],
Bayesian implementation of a Lagrangian macroscopic traffic flow model,
ICPR12(214-217).
WWW Link. 1302
BibRef

Horita, Y.[Yuukou], Kawai, S.[Shohei], Furukane, T.[Tatsuya], Shibata, K.[Keiji],
Efficient distinction of road surface conditions using surveillance camera images in night time,
ICIP12(485-488).
IEEE DOI 1302
BibRef

Zhou, Z.N.[Zhong-Na], Han, T.X.[Tony X.], He, Z.H.[Zhi-Hai],
Semi-supervised learning for robust car windshield tracking and monitoring in live traffic videos,
ICIP12(489-492).
IEEE DOI 1302
BibRef

Pletzer, F.[Felix], Tusch, R.[Roland], Boszormenyi, L.[Laszlo], Rinner, B.[Bernhard],
Robust Traffic State Estimation on Smart Cameras,
AVSS12(434-439).
IEEE DOI 1211
BibRef

Pamula, W.[Wieslaw],
Detection of Vehicles in a Video Stream Using Spatial Frequency Domain Features,
ICCVG14(494-501).
Springer DOI 1410
BibRef

Pamula, W.[Wieslaw],
Determination of Road Traffic Parameters Based on 3D Wavelet Representation of an Image Sequence,
ICCVG12(541-548).
Springer DOI 1210
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Pamula, W.,
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CIAP03(250-253).
IEEE DOI 0310
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Rodriguez-Serrano, J.A.[José Antonio],
Pattern Recognition in Transportation,
CIARP12(58).
Springer DOI 1209
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Jarraya, S.K.[Salma Kammoun], Ghrab, N.B.[Najla Bouarada], Hammami, M.[Mohamed], Ben-Abdallah, H.[Hanene],
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ICISP12(406-414).
Springer DOI 1208
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Albiol, A.[Antonio], Albiol, A.[Alberto], Mossi, J.M.[Jose M.],
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VS11(1928-1932).
IEEE DOI 1201
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Mossi, J.M.[Jose M.], Albiol, A.[Alberto], Albiol, A.[Antonio], Ornedo, V.N.[Valery Naranjo],
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ICIP11(2941-2944).
IEEE DOI 1201
BibRef

Pletzer, F.[Felix], Rinner, B.[Bernhard], Tusch, R.[Roland], Boszormenyi, L.[Laszlo], Harrer, M.[Manfred], Mariacher, T.[Thomas],
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AVSBS11(543-544).
IEEE DOI 1111
AVSS 2011 demo session. For traffic analysis, automated evaluation, weather, etc. BibRef

Indu, S., Arora, S.[Sankalp], Chaudhury, S.[Santanu], Bhattacharyya, A.[Asok],
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ICCVGIP10(132-139).
DOI Link 1111
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Favoreel, W.[Wouter],
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AVSBS11(511).
IEEE DOI 1111
Industrial paper. BibRef

Viertl, N.[Nikolaus],
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AVSBS11(512).
IEEE DOI 1111
Industrial paper. BibRef

Fan, Y.W.[Ya-Wen], Yang, H.[Hua], Zheng, S.B.[Shi-Bao], Su, H.[Hang],
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ICIG11(726-730).
IEEE DOI 1109
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Pless, R., Dixon, M., Jacobs, N., Baker, P., Cassimatis, N.L., Brock, D., Hartley, R.I., Perzanowski, D.,
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AIPR09(1-8).
IEEE DOI 0910
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Robert, K.,
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AVSS10(9-16).
IEEE DOI 1009
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Dong, N.[Nan], Jia, Z.[Zhen], Shao, J.[Jie], Xiong, Z.Y.[Zi-You], Li, Z.P.[Zhi-Peng], Liu, F.Q.[Fu-Qiang], Zhao, J.W.[Jian-Wei], Peng, P.Y.[Pei-Yuan],
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AVSS10(80-84).
IEEE DOI 1009
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Sultani, W.[Waqas], Choi, J.Y.[Jin Young],
Abnormal Traffic Detection Using Intelligent Driver Model,
ICPR10(324-327).
IEEE DOI 1008
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Huang, C.C.[Ching-Chun], Chiu, W.C.[Wei-Chen], Wang, S.J.[Sheng-Jyh], Chuang, J.H.[Jen-Hui],
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ICPR10(3332-3335).
IEEE DOI 1008
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Kafer, E.[Eugen], Hermes, C.[Christoph], Wohler, C.[Christian], Kummert, F.[Franz], Ritter, H.[Helge],
Recognition and Prediction of Situations in Urban Traffic Scenarios,
ICPR10(4234-4237).
IEEE DOI 1008
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Alba, M., Barazzetti, L., Giussani, A., Roncoroni, F., Scaioni, M.,
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Choe, T.E.[Tae Eun], Lee, M.W.[Mun Wai], Haering, N.[Niels],
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WCN10(9-16).
IEEE DOI 1006
BibRef

Lin, M.C.[Ming C.], Guy, S.[Stephen], Narain, R.[Rahul], Sewall, J.[Jason], Patil, S.[Sachin], Chhugani, J.[Jatin], Golas, A.[Abhinav], van den Berg, J.[Jur], Curtis, S.[Sean], Wilkie, D.[David], Merrell, P.[Paul], Kim, C.K.[Chang-Kyu], Satish, N.[Nadathur], Dubey, P.[Pradeep], Manocha, D.[Dinesh],
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MIG09(94-103).
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Lee, J.S.[Joon-Soo], Bovik, A.C.[Alan C.],
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ICIP09(1157-1160).
IEEE DOI 0911
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Yang, J.[Jun], Wang, Y.[Yang], Sowmya, A.[Arcot], Li, Z.D.[Zhi-Dong], Zhang, B.[Bang], Xu, J.[Jie],
Feature fusion for vehicle detection and tracking with low-angle cameras,
WACV11(382-388).
IEEE DOI 1101

See also Saliency detection based on proto-objects and topic model. BibRef

Yang, J.[Jun], Wang, Y.[Yang], Sowmya, A.[Arcot], Li, Z.D.[Zhi-Dong],
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IEEE DOI 1009
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Yang, J.[Jun], Wang, Y.[Yang], Sowmya, A.[Arcot], Xu, J.[Jie], Li, Z.D.[Zhi-Dong], Zhang, B.[Bang],
Spatial-Temporal Affinity Propagation for Feature Clustering with Application to Traffic Video Analysis,
ACCV10(II: 606-618).
Springer DOI 1011
BibRef
Earlier: A1, A2, A3, A6, A4, A5:
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AVSS10(414-419).
IEEE DOI 1009

See also Unsupervised Moving Object Detection with On-line Generalized Hough Transform. BibRef

Yang, J.[Jun], Wang, Y.[Yang], Ye, G.[Getian], Sowmya, A.[Arcot], Zhang, B.[Bang], Xu, J.[Jie],
Feature clustering for vehicle detection and tracking in road traffic surveillance,
ICIP09(1145-1148).
IEEE DOI 0911
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Farooq, U.[Umar], Atiq, H.M.[Hafiz Muhammad], Asad, M.U.[Muhammad Usman], Iqbal, A.[Asim], Azmat, Z.[Zeeshan],
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ICMV09(166-171).
IEEE DOI 0912
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Ess, A.[Andreas], Mueller, T.[Tobias], Grabner, H.[Helmut], Van Gool, L.J.[Luc J.],
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Ladický, L.[Lubor], Sturgess, P.[Paul], Alahari, K.[Karteek], Russell, C.[Chris], Torr, P.H.S.[Philip H.S.],
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Springer DOI 1009
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Sturgess, P.[Paul], Alahari, K.[Karteek], Ladicky, L.[Lubor], Torr, P.H.S.[Philip H.S.],
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Antic, B.[Borislav], Castaneda, J.O.N.[Jorge Oswaldo Niño], Culibrk, D.[Dubravko], Pižurica, A.[Aleksandra], Crnojevic, V.[Vladimir], Philips, W.[Wilfried],
Robust Detection and Tracking of Moving Objects in Traffic Video Surveillance,
ACIVS09(494-505).
Springer DOI 0909
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Houben, Q.[Quentin], Czyz, J.[Jacek], Diaz, J.C.T.[Juan Carlos Tocino], Debeir, O.[Olivier], Warzee, N.[Nadine],
Feature-Based Stereo Vision Using Smart Cameras for Traffic Surveillance,
CVS09(144-153).
Springer DOI 0910
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Robert, K.[Kostia],
Night-Time Traffic Surveillance: A Robust Framework for Multi-vehicle Detection, Classification and Tracking,
AVSBS09(1-6).
IEEE DOI 0909
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Wassantachat, T.[Thanes], Li, Z.D.[Zhi-Dong], Chen, J.[Jing], Wang, Y.[Yang], Tan, E.[Evan],
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AVSBS09(13-18).
IEEE DOI 0909
BibRef
Earlier: A2, A5, A3, A1, Only:
On Traffic Density Estimation with a Boosted SVM Classifier,
DICTA08(117-123).
IEEE DOI 0812
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Pfeiffer, D., Reulke, R.,
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CMRT09(41-46).
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Traffic scenes with stationary video. BibRef

Zheng, J.Y.[Jiang Yu], Bhupalam, Y.[Yasaswy], Tanaka, H.T.[Hiromi T.],
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ICPR08(1-5).
IEEE DOI 0812
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Janney, P.[Pranam], Geers, G.[Glenn],
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PSIVT09(531-541).
Springer DOI 0901
BibRef

Monteiro, G.[Goncalo], Marcos, J.[Joao], Ribeiro, M.[Miguel], Batista, J.P.[Jorge P.],
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ICIP08(2652-2655).
IEEE DOI 0810
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Utasi, Á.[Ákos], Czuni, L.[László],
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WSSIP08(445-448).
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CAIP09(1070-1077).
Springer DOI 0909
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Luque-Baena, R.M.[Rafael Marcos], Domínguez, E., Palomo, E.J., Muñoz, J.,
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ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Monteiro, G.[Gonçalo], Marcos, J.[João], Ribeiro, M.[Miguel], Batista, J.P.[Jorge P.],
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AVSBS07(164-169).
IEEE DOI 0709
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Bevilacqua, A.[Alessandro], Lanza, A.[Alessandro], Baccarani, G.[Giorgio], Rovatti, R.[Riccardo],
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SCIA03(677-684).
Springer DOI 0310
BibRef

Hirano, T.[Takashi], Yoneyama, S.[Shogo], Okada, Y.[Yasuhiro], Kosugi, Y.[Yukio],
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ISVC07(II: 459-468).
Springer DOI 0711
BibRef

Su, X.Y.[Xiao-Yuan], Khoshgoftaar, T.M.[Taghi M.], Zhu, X.Q.[Xing-Quan], Folleco, A.[Andres],
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Monteiro, G.[Gonçalo], Ribeiro, M.[Miguel], Marcos, J.[João], Batista, J.P.[Jorge P.],
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ICIP07(V: 141-144).
IEEE DOI 0709
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And:
A Framework for Wrong Way Driver Detection Using Optical Flow,
ICIAR07(1117-1127).
Springer DOI 0708
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Weng, X.X.[Xiao-Xiong], Tan, Y.A.[Yu-An], Du, G.L.[Gao-Li], Hong, Q.M.[Qin-Ming],
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ICARCV06(1-6).
IEEE DOI 0612
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Luo, X.Z.[Xing-Zhi], Bhandarkar, S.M.[Suchendra M.],
Real-Time and Robust Background Updating for Video Surveillance and Monitoring,
ICIAR05(1226-1233).
Springer DOI 0509
BibRef
And: A2, A1:
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MVIV05(III: 55-55).
IEEE DOI 0507
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Spangenberg, R., Döring, T.,
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Leibe, B.[Bastian], Cornelis, N.[Nico], Cornelis, K.[Kurt], Van Gool, L.J.[Luc J.],
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CVPR07(1-8).
IEEE DOI 0706
Award, CVPR. BibRef
Earlier:
Integrating Recognition and Reconstruction for Cognitive Traffic Scene Analysis from a Moving Vehicle,
DAGM06(192-201).
Springer DOI 0610
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Jiménez, H.[Hugo], Salas, J.[Joaquín],
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ACIVS09(485-493).
Springer DOI 0909
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Li, X.[Xi], Hu, W.M.[Wei-Ming], Hu, W.[Wei],
A Coarse-to-Fine Strategy for Vehicle Motion Trajectory Clustering,
ICPR06(I: 591-594).
IEEE DOI 0609
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Mbonye, K.P.[Kwizera P.], Ferrie, F.P.[Frank P.],
Attentive Visual Servoing in the MPEG compressed domain for Un-calibrated Motion Parameter Estimation of Road Traffic,
ICPR06(IV: 908-911).
IEEE DOI 0609
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Aoki, M.[Masayoshi],
Imaging and analysis of traffic scene,
ICIP99(IV:1-5).
IEEE DOI BibRef 9900

Kiratiratanapruk, K., Dubey, P., Siddhichai, S.,
A gradient-based foreground detection technique for object tracking in a traffic monitoring system,
AVSBS05(377-381).
IEEE DOI 0602
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Foresti, G.L.[Gian Luca], Snidaro, L.[Lauro],
Vehicle Detection and Tracking for Traffic Monitoring,
CIAP05(1198-1205).
Springer DOI 0509
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Zorka, N., Cheok, K.C.,
Dynamic cluster tracking technique for traffic monitoring using on-vehicle radar,
IVS04(728-731).
IEEE DOI 0411
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Dagli, I., Breuel, G., Schittenhelm, H., Schanz, A.,
Cutting-in vehicle recognition for ACC systems: Towards Feasible Situation Analysis Methodologies,
IVS04(925-930).
IEEE DOI 0411
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Wang, J.M., Chung, Y.C., Lin, S.C., Chang, S.L., Cherng, S., Chen, S.W.,
Vision-based traffic measurement system,
ICPR04(IV: 360-363).
IEEE DOI 0409
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Douret, J., Benosman, R.,
A volumetric multi-cameras method dedicated to road traffic monitoring,
IVS04(442-446).
IEEE DOI 0411
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And:
A multi-cameras 3D volumetric method for outdoor scenes: A Road Traffic Monitoring Application.,
ICPR04(III: 334-337).
IEEE DOI 0409
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Kohler, C.,
Selecting ghosts and queues from a car trackers output using a spatio-temporal query language,
CVPR04(I: 619-624).
IEEE DOI 0408
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Zanin, M., Messelodi, S., Modena, C.M.,
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CIAP03(232-237).
IEEE DOI 0310
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CVS03(78 ff).
Springer DOI 0306
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Kasprzak, W.[Wlodzimierz],
An Iconic Classification Scheme for Video-Based Traffic Sensor Tasks,
CAIP01(725 ff.).
Springer DOI 0210
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Wu, M., Joyce, R., Kung, S.,
Dynamic Resource Allocation Via Video Content and Short-term Traffic Statistics,
ICIP00(Vol III: 58-61).
IEEE DOI 0008
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Santini, S.[Simone],
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WACV00(140-145).
IEEE DOI 0010
Detection of vehicles with a statistical measure, not counting: essentially area of difference image with large differences. And apply network flow analysis to get flow information. BibRef

Pani, B., Scala, P., Bolla, R., Davoli, F.,
Filtering and prediction techniques in radar tracking of vehicles for assisted driving,
CIAP99(1148-1151).
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Methods of Traffic Flow Measurement using Spatio-Temporal Image,
ICIP99(IV:16-20).
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Viarani, E.,
Extraction of traffic information from images at DEIS,
CIAP99(1073-1076).
IEEE DOI 9909
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Wixson, L.B., Hanna, K.J., Mishra, D.,
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VS98(Image Processing for Visual Surveillance). BibRef 9800

Wixson, L.B.,
Illumination Assessment for Vision-Based Traffic Monitoring,
ICPR96(III: 56-62).
IEEE DOI 9608
(David Sarnoff Research Center, USA) BibRef

Sorensen, E., and Christensen, H.I.,
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Ferrier, N.J., Rowe, S.M., and Blake, A.,
Real-Time Traffic Monitoring,
WACV94(81-88).
IEEE Abstract. BibRef 9400

Chandrashekhar, S., Meygret, A., and Thonnat, M.,
Temporal Analysis of Stereo Image Sequences of Traffic Scenes,
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Toal, A.F., Buxton, H.,
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ECCV92(884-892).
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Motion and intensity-based segmentation and its application to traffice monitoring,
CIAP97(I: 502-509).
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ICPR96(III: 859-864).
IEEE DOI 9608
(NEC Corporation, J) BibRef

Bocheck, P., Chang, S.F.[Shih-Fu],
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ICIP96(II: 817-820).
IEEE DOI 9610
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Bartolini, F., Cappellini, V., Giani, C.,
Motion estimation and tracking for urban traffic monitoring,
ICIP96(III: 787-790).
IEEE DOI 9610
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Wetzel, D., Niemann, H., and Richter, S.,
A Robust Cognitive Approach to Traffic Scene Analysis,
WACV94(65-72).
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Traffic Surveillance, Analysis, Aerial Images, Overhead, Airborne Sensors .

Last update:Jan 20, 2025 at 11:36:25