16.7.2.5 Vehicle Tracking, Vehicle Motion Analysis

Racing Bicycle Detection/Tracking from UAV Footage, UAV Detection,
Motion Datasets Online2019.
HTML Version. Dataset, Vehicle Tracking. Dataset, Drone Detection. Multiple datasets. UAV detection against variety of backgrounds.
See also MULTIDRONE. BibRef 1900

Spikenet Technology,
2001.
WWW Link. Vendor, Vehicle Tracking. Vehicle tracking. From CNRS laboratory in Toulouse.

Dubuisson-Jolly, M.P.[Marie-Pierre], Jain, A.K.,
Contour Extraction of Moving-Objects in Complex Outdoor Scenes,
IJCV(14), No. 1, January 1995, pp. 83-105.
Springer DOI BibRef 9501
Earlier:
2D Matching of 3D Moving Objects in Color Outdoor Scenes,
CVPR94(887-891).
IEEE DOI BibRef
Object Contour Extraction Using Color and Motion,
CVPR93(471-476).
IEEE DOI Vehicle Tracking. Extract contours of moving cars (moving across image). And using differences of consecutive images and color get the contour of the moving object. BibRef

Gil, S., Milanese, R., Pun, T.,
Comparing Features for Target Tracking in Traffic Scenes,
PR(29), No. 8, August 1996, pp. 1285-1296.
Elsevier DOI 9608
BibRef
And:
Combining Multiple Motion Estimates for Vehicle Tracking,
ECCV96(II:305-320).
Springer DOI BibRef
Earlier:
Feature Selection for Object Tracking in Traffic Scenes,
SPIE(2344), 1994, pp. 253-266. Uses a bounding box and pattern based tracking system. BibRef

Gardner, W.F., Lawton, D.T.,
Interactive Model-Based Vehicle Tracking,
PAMI(18), No. 11, November 1996, pp. 1115-1121.
IEEE DOI 9612
BibRef
And: TRGIT-GVU-95-33, Georgia Tech, September 1995. BibRef
Earlier: A2, A1 and Add A3: Kim, J.H., DARPA93(527-533). Model based tracking of vehicles on a road. BibRef

Haag, M., Frank, T., Kollnig, H., Nagel, H.H.,
Influence of an Explicitly Modeled 3D Scene on the Tracking of Partially Occluded Vehicles,
CVIU(65), No. 2, February 1997, pp. 206-225.
DOI Link 9704
BibRef
Earlier: A2, A1, A3, A4:
Tracking Occluded Vehicles in Traffic Scenes,
ECCV96(II:485-494).
Springer DOI BibRef

Haag, M.[Michael], Nagel, H.H.[Hans-Hellmut],
Combination of Edge Element and Optical Flow Estimates for 3D-Model-Based Vehicle Tracking in Traffic Image Sequences,
IJCV(35), No. 3, December 1999, pp. 295-319.
DOI Link BibRef 9912
Earlier: A2, A1:
Bias-Corrected Optical Flow Estimation for Road Vehicle Tracking,
ICCV98(1006-1011).
IEEE DOI BibRef

Hsieh, J.W.[Jun-Wei], Yu, S.H.[Shih-Hao], Chen, Y.S.[Yung-Sheng], Hu, W.F.[Wen-Fong],
Automatic Traffic Surveillance System for Vehicle Tracking and Classification,
ITS(7), No. 2, June 2006, pp. 175-187.
IEEE DOI 0606
BibRef
Earlier: A2, A1, A3, A4:
An Automatic Traffic Surveillance System for Vehicle Tracking and Classification,
SCIA03(379-386).
Springer DOI 0310

See also Morphology-based license plate detection from complex scenes. BibRef

Nejadasl, F.K.[Fatemeh Karimi], Gorte, B.G.H.[Ben G.H.], Hoogendoorn, S.P.[Serge P.],
Optical flow based vehicle tracking strengthened by statistical decisions,
PandRS(61), No. 3-4, December 2006, pp. 159-169.
Elsevier DOI 0703
Traffic monitoring; Tracking; Optical flow; Gradient based; Scale space; Statistic BibRef

Dahlkamp, H.[Hendrik], Nagel, H.H.[Hans-Hellmut], Ottlik, A.[Artur], Reuter, P.[Paul],
A Framework for Model-Based Tracking Experiments in Image Sequences,
IJCV(73), No. 2, June 2007, pp. 139-157.
Springer DOI 0702
BibRef

Dahlkamp, H.[Hendrik], Pece, A.E.C.[Arthur E.C.], Ottlik, A.[Artur], Nagel, H.H.[Hans-Hellmut],
Differential Analysis of Two Model-Based Vehicle Tracking Approaches,
DAGM04(71-78).
Springer DOI 0505
BibRef

Dahlkamp, H.[Hendrik], Ottlik, A.[Artur], Nagel, H.H.[Hans-Hellmut],
Comparison of Edge-Driven Algorithms for Model-Based Motion Estimation,
SCVMA04(38-50).
Springer DOI 0405
BibRef

Ottlik, A.[Artur], Nagel, H.H.[Hans-Hellmut],
Initialization of Model-Based Vehicle Tracking in Video Sequences of Inner-City Intersections,
IJCV(80), No. 2, November 2008, pp. xx-yy.
Springer DOI 0809
BibRef

Kollnig, H., Nagel, H.H.,
Matching Object Models to Segments from an Optical Flow Field,
ECCV96(II:388-399).
Springer DOI Uses OFF to get better object models for tracking. BibRef 9600

Haag, M., Nagel, H.H.,
Tracking of Complex Driving Maneuvers in Traffic Image Sequences,
IVC(16), No. 8, June 1998, pp. 517-527.
Elsevier DOI 9807
BibRef

Haag, M., Nagel, H.H.,
Incremental recognition of traffic situations from video image sequences,
IVC(18), No. 2, January 2000, pp. 137-153.
Elsevier DOI 0001
BibRef

Badenas, J.[Jorge], Sanchiz, J.M.[José Miguel], Pla, F.[Filiberto],
Motion-based segmentation and region tracking in image sequences,
PR(34), No. 3, March 2001, pp. 661-670.
Elsevier DOI 0101
BibRef
Earlier:
Using Temporal Integration for Tracking Regions in Traffic Monitoring Sequences,
ICPR00(Vol III: 1125-1128).
IEEE DOI 0009
BibRef

Pla, F.[Filiberto], Badenas, J.[Jorge],
Segmentation Based on Region-Tracking in Image Sequences for Traffic Monitoring,
ICPR98(Vol II: 999-1001).
IEEE DOI 9808
BibRef

Betke, M.[Margrit], Haritaoglu, E.[Esin], Davis, L.S.[Larry S.],
Real-time multiple vehicle detection and tracking from a moving vehicle,
MVA(12), No. 2, 2000, pp. 69-83.
Springer DOI 0010
BibRef
Earlier:
Multiple Vehicle Detection and Tracking in Hard Real Time,
UMDTR3667. July 1996
WWW Link. BibRef

Chen, S.C.[Shu-Ching], Shyu, M.L.[Mei-Ling], Peeta, S., Zhang, C.C.[Cheng-Cui],
Learning-based spatio-temporal vehicle tracking and indexing for transportation multimedia database systems,
ITS(4), No. 3, September 2003, pp. 154-167.
IEEE Abstract. 0402
BibRef

Magee, D.R.[Derek R.],
Tracking multiple vehicles using foreground, background and motion models,
IVC(22), No. 2, 1 February 2004, pp. 143-155.
Elsevier DOI 0402
Track based on background model and object size, velocity, color models. BibRef

Kato, J.[Jien], Watanabe, T.[Toyohide], Joga, S.[Sébastien], Liu, Y.[Ying], Hase, H.,
An HMM/MRF-based stochastic framework for robust vehicle tracking,
ITS(5), No. 3, September 2004, pp. 142-154.
IEEE Abstract. 0501
BibRef

Xiong, T.[Tao], Debrunner, C.H.[Christian H.],
Stochastic car tracking with line- and color-based features,
ITS(5), No. 4, December 2004, pp. 324-328.
IEEE Abstract. 0501
BibRef
Earlier:
Monte Carlo Visual Tracking Using Color Histograms and a Spatially Weighted Oriented Hausdorff Measure,
CAIP03(190-197).
Springer DOI 0311
BibRef

Sun, C.C., Arr, G.S., Ramachandran, R.P., Ritchie, S.G.,
Vehicle Reidentification using multidetector fusion,
ITS(5), No. 3, September 2004, pp. 155-164.
IEEE Abstract. 0501
BibRef

Sadoghi Yazdi, H.[Hadi], Lotfizad, A.M.[A. Mojtaba], Kabir, E.[Ehsanollah], Fathy, M.[Mahmood],
Clipped Input RLS Applied to Vehicle Tracking,
JASP(2005), No. 8, 2005, pp. 1221-1228.
WWW Link. 0603
RLS: Recursive Least Squared. BibRef

Sadoghi Yazdi, H.[Hadi], Fathy, M.[Mahmood], Lotfizad, A.M.[A. Mojtaba],
Vehicle Tracking at Traffic Scene with Modified RLS,
ICIAR04(II: 623-632).
Springer DOI 0409
BibRef

Sadoghi Yazdi, H.[Hadi], Lotfizad, A.M.[A. Mojtaba], Fathy, M.[Mahmood],
Car tracking by quantised input LMS, QX-LMS algorithm in traffic scenes,
VISP(153), No. 1, February 2006, pp. 37-45.
DOI Link 0602
BibRef

Dewees, T.G.[Thomas Gerret],
Vehicle tracking driver assistance system,
US_Patent7,038,712, May 9, 2006.
WWW Link. Well, not really a vision system. It references a number of attachments that aid in a driver centering the vehicle in the lane. Not automated systems. BibRef 0605

Schiele, B.[Bernt],
Model-free tracking of cars and people based on color regions,
IVC(24), No. 11, 1 November 2006, pp. 1172-1178.
Elsevier DOI 0610
Wearable computing; Model-free tracking; Wearable cameras BibRef

Guo, Y.L.[Yan-Lin], Hsu, S.[Steve], Sawhney, H.S.[Harpreet S.], Kumar, R.T.[Rakesh T.], Shan, Y.[Ying],
Robust Object Matching for Persistent Tracking with Heterogeneous Features,
PAMI(29), No. 5, May 2007, pp. 824-839.
IEEE DOI 0704
BibRef
Earlier: A1, A3, A4, A2, Only: PETS05(81-88).
IEEE DOI 0602
BibRef
Earlier: A1, A2, A5, A3, A4:
Vehicle Fingerprinting for Reacquisition and Tracking in Videos,
CVPR05(II: 761-768).
IEEE DOI 0507
BibRef

Kanhere, N.K.[Neeraj K.], Birchfield, S.T.[Stanley T.],
Real-Time Incremental Segmentation and Tracking of Vehicles at Low Camera Angles Using Stable Features,
ITS(9), No. 1, March 2008, pp. 148-160.
IEEE DOI 0803
BibRef

Kanhere, N.K.[Neeraj K.], Pundlik, S.J.[Shrinivas J.], Birchfield, S.T.[Stanley T.],
Vehicle Segmentation and Tracking from a Low-Angle Off-Axis Camera,
CVPR05(II: 1152-1157).
IEEE DOI 0507
BibRef

Murali, V.N.[Vidya N.], Birchfield, S.T.[Stanley T.],
Autonomous navigation and mapping using monocular low-resolution grayscale vision,
VisLoc08(1-8).
IEEE DOI 0806
BibRef

Raffo, G.V., Gomes, G.K., Normey-Rico, J.E., Kelber, C.R., Becker, L.B.,
A Predictive Controller for Autonomous Vehicle Path Tracking,
ITS(10), No. 1, March 2009, pp. 92-102.
IEEE DOI 0903
BibRef

Rodriguez-Benitez, L., Moreno-Garcia, J., Castro-Schez, J.J., Albusac, J., Jimenez-Linares, L.,
Automatic objects behaviour recognition from compressed video domain,
IVC(27), No. 6, 4 May 2009, pp. 648-657.
Elsevier DOI 0904
Fuzzy logic; Linguistic labels; MPEG compressed video; Behaviour models; Vehicles tracking BibRef

Bhandarkar, S.M.[Suchendra M.], Luo, X.Z.[Xing-Zhi],
Integrated detection and tracking of multiple faces using particle filtering and optical flow-based elastic matching,
CVIU(113), No. 6, June 2009, pp. 708-725.
Elsevier DOI 0904
BibRef
Earlier: A2, A1:
Tracking of Multiple Objects Using Optical Flow Based Multiscale Elastic Matching,
WDV06(203-217).
Springer DOI 0705
BibRef
Earlier: A2, A1:
Multiple object tracking using elastic matching,
AVSBS05(123-128).
IEEE DOI 0602
BibRef
And: A2, A1:
A Novel Tracking Framework Using Kalman Filtering and Elastic Matching,
ICIAR05(836-843).
Springer DOI 0509
Particle filtering; Multiple face tracking; Genetic Algorithm; Elastic matching; Optical flow BibRef

Chang, T.H., Huang, H.J.,
Dynamic Data Regulation for Fixed Vehicle Detectors,
ITS(11), No. 1, March 2010, pp. 113-121.
IEEE DOI 1003
Static vehicles cause detectors problems. Adjust accordingly. (Or why you want a vision sensor for detection...) BibRef

Sivaraman, S.[Sayanan], Trivedi, M.M.[Mohan M.],
A General Active-Learning Framework for On-Road Vehicle Recognition and Tracking,
ITS(11), No. 2, June 2010, pp. 267-276.
IEEE DOI 1007
BibRef

Sivaraman, S.[Sayanan], Trivedi, M.M.[Mohan M.],
Active learning for on-road vehicle detection: a comparative study,
MVA(25), No. 3, April 2014, pp. 599-611.
WWW Link. 1404
BibRef

Toledo-Moreo, R., Pinzolas-Prado, M., Cano-Izquierdo, J.M.,
Maneuver Prediction for Road Vehicles Based on a Neuro-Fuzzy Architecture With a Low-Cost Navigation Unit,
ITS(11), No. 2, June 2010, pp. 498-504.
IEEE DOI 1007
BibRef

Wang, Y.,
Joint Random Field Model for All-Weather Moving Vehicle Detection,
IP(19), No. 9, September 2010, pp. 2491-2501.
IEEE DOI 1008
BibRef

Wang, Y., Ye, G.,
Joint Random Fields for Moving Vehicle Detection,
BMVC08(xx-yy).
PDF File. 0809

See also Real-Time Moving Vehicle Detection With Cast Shadow Removal in Video Based on Conditional Random Field. BibRef

Bouttefroy, P.L.M., Bouzerdoum, A., Phung, S.L., Beghdadi, A.,
Integrating the Projective Transform with Particle Filtering for Visual Tracking,
JIVP(2011), No. 2011, pp. xx-yy.
DOI Link 1101
BibRef
Earlier:
Vehicle Tracking Using Projective Particle Filter,
AVSBS09(7-12).
IEEE DOI 0909
BibRef

Liu, C.Y., Yung, N.H.C.,
Scale-Adaptive Spatial Appearance Feature Density Approximation for Object Tracking,
ITS(12), No. 1, March 2011, pp. 284-290.
IEEE DOI 1103
BibRef

Jazayeri, A., Cai, H., Zheng, J.Y., Tuceryan, M.,
Vehicle Detection and Tracking in Car Video Based on Motion Model,
ITS(12), No. 2, June 2011, pp. 583-595.
IEEE DOI 1101
BibRef

Sheng, H.[Hao], Wei, Q.[Qi], Li, C.[Chao], Xiong, Z.[Zhang],
Robust multiple-vehicle tracking via adaptive integration of multiple visual features,
JIVP(2012), No. 1 2012, pp. xx-yy.
DOI Link 1203
BibRef

Cheng, F.C.[Fan-Chieh], Ruan, S.J.[Shanq-Jang],
Accurate Motion Detection Using a Self-Adaptive Background Matching Framework,
ITS(13), No. 2, June 2012, pp. 671-679.
IEEE DOI 1206
BibRef

Hasberg, C., Hensel, S., Stiller, C.,
Simultaneous Localization and Mapping for Path-Constrained Motion,
ITS(13), No. 2, June 2012, pp. 541-552.
IEEE DOI 1206
BibRef

Ernst, J.M., Krogmeier, J.V., Bullock, D.M.,
Maximum-Likelihood Acceleration Estimation From Existing Roadway Vehicle Detectors,
ITS(13), No. 2, June 2012, pp. 759-769.
IEEE DOI 1206
BibRef

Gangodkar, D., Kumar, P., Mittal, A.,
Robust Segmentation of Moving Vehicles Under Complex Outdoor Conditions,
ITS(13), No. 4, December 2012, pp. 1738-1752.
IEEE DOI 1212
BibRef

Jelaca, V.[Vedran], Pižurica, A.[Aleksandra], Niño-Castañeda, J.O.[Jorge Oswaldo], Frías-Velázquez, A.[Andrés], Philips, W.[Wilfried],
Vehicle matching in smart camera networks using image projection profiles at multiple instances,
IVC(31), No. 9, 2013, pp. 673-685.
Elsevier DOI 1308
Multi-camera tracking BibRef

Saleemi, I.[Imran], Shah, M.[Mubarak],
Multiframe Many-Many Point Correspondence for Vehicle Tracking in High Density Wide Area Aerial Videos,
IJCV(104), No. 2, September 2013, pp. 198-219.
WWW Link. 1308
BibRef

Shan, M.[Mao], Worrall, S., Nebot, E.,
Probabilistic Long-Term Vehicle Motion Prediction and Tracking in Large Environments,
ITS(14), No. 2, 2013, pp. 539-552.
IEEE DOI 1307
off-road vehicles; sensor fusion; traffic engineering computing; particle filter BibRef

Shan, M., Worrall, S., Masson, F., Nebot, E.,
Using Delayed Observations for Long-Term Vehicle Tracking in Large Environments,
ITS(15), No. 3, June 2014, pp. 967-981.
IEEE DOI 1407
Acceleration BibRef

Wang, J.K.[Jian-Kai], Indra-Payoong, N.[Nakorn], Sumalee, A.[Agachai], Panwai, S.[Sakda],
Vehicle Reidentification With Self-Adaptive Time Windows for Real-Time Travel Time Estimation,
ITS(15), No. 2, April 2014, pp. 540-552.
IEEE DOI 1404
Estimation BibRef

Hunter, T., Abbeel, P., Bayen, A.,
The Path Inference Filter: Model-Based Low-Latency Map Matching of Probe Vehicle Data,
ITS(15), No. 2, April 2014, pp. 507-529.
IEEE DOI 1404
Global Positioning System BibRef

Guo, J.M.[Jing-Ming], Prasetyo, H., Wong, K.[Kok_Sheik],
Vehicle Verification Using Gabor Filter Magnitude with Gamma Distribution Modeling,
SPLetters(21), No. 5, May 2014, pp. 600-604.
IEEE DOI 1404
Gabor filters BibRef

Guo, J.M.[Jing-Ming], Prasetyo, H., Farfoura, M.E., Lee, H.,
Vehicle Verification Using Features From Curvelet Transform and Generalized Gaussian Distribution Modeling,
ITS(16), No. 4, August 2015, pp. 1989-1998.
IEEE DOI 1508
Computed tomography BibRef

Hajimolahoseini, H., Amirfattahi, R., Soltanian-Zadeh, H.,
Robust vehicle tracking algorithm for nighttime videos captured by fixed cameras in highly reflective environments,
IET-CV(8), No. 6, 2014, pp. 535-544.
DOI Link 1502
cameras BibRef

Jeng, S., Chu, L.,
Tracking Heavy Vehicles Based on Weigh-In-Motion and Inductive Loop Signature Technologies,
ITS(16), No. 2, April 2015, pp. 632-641.
IEEE DOI 1504
Axles BibRef

White, J.[Jonathan], Helmstetter, A.[Anthony], Culbertson, J.[Jared], Ternovskiy, I.[Igor],
Improving vehicle tracking techniques with a new qualia-based model,
SPIE(Newsroom), April 14, 2015.
DOI Link 1507
A three-layer thinking engine effectively learns the objects in a complex scene and the relationships between them. BibRef

Liang, C., Juang, C.,
Moving Object Classification Using a Combination of Static Appearance Features and Spatial and Temporal Entropy Values of Optical Flows,
ITS(16), No. 6, December 2015, pp. 3453-3464.
IEEE DOI 1512
Feature extraction BibRef

Liu, Y., Wang, K., Shen, D.,
Visual Tracking Based on Dynamic Coupled Conditional Random Field Model,
ITS(17), No. 3, March 2016, pp. 822-833.
IEEE DOI 1603
Adaptive optics BibRef

Zhao, N.[Na], Xia, Y.J.[Ying-Jie], Xu, C.[Chao], Shi, X.M.[Xing-Min], Liu, Y.C.[Yun-Cai],
APPOS: An adaptive partial occlusion segmentation method for multiple vehicles tracking,
JVCIR(37), No. 1, 2016, pp. 25-31.
Elsevier DOI 1603
Multiple vehicles tracking BibRef

Darwish, S.M.[Saad Mohamed],
Empowering vehicle tracking in a cluttered environment with adaptive cellular automata suitable to intelligent transportation systems,
IET-ITS(11), No. 2, March 2017, pp. 84-91.
DOI Link 1703
BibRef

Liu, J.Y.[Jun-Ying], Cao, X.B.[Xian-Bin], Li, Y.[Yan], Zhang, B.C.[Bao-Chang],
Online Multi-Object Tracking Using Hierarchical Constraints for Complex Scenarios,
ITS(19), No. 1, January 2018, pp. 151-161.
IEEE DOI 1801
Computational modeling, Data models, Intelligent vehicles, Robustness, Target tracking, Uncertainty, MGU, intelligent vehicles BibRef

Ding, G., Chen, W., Zhao, S., Han, J., Liu, Q.,
Real-Time Scalable Visual Tracking via Quadrangle Kernelized Correlation Filters,
ITS(19), No. 1, January 2018, pp. 140-150.
IEEE DOI 1801
Bayes methods, Correlation, Real-time systems, Target tracking, Training, Visualization, Gaussian mixture model, Image emotion, valence-arousal BibRef

Zhu, J.S.[Jia-Song], Sun, K.[Ke], Jia, S.[Sen], Lin, W.D.[Wei-Dong], Hou, X.X.[Xian-Xu], Liu, B.Z.[Bo-Zhi], Qiu, G.P.[Guo-Ping],
Bidirectional Long Short-Term Memory Network for Vehicle Behavior Recognition,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Hashemi, E., Pirani, M., Khajepour, A., Fidan, B., Kasaiezadeh, A., Chen, S.K.,
Opinion Dynamics-Based Vehicle Velocity Estimation and Diagnosis,
ITS(19), No. 7, July 2018, pp. 2142-2148.
IEEE DOI 1807
Friction, Observers, Reliability, Roads, Tires, Vehicle dynamics, Opinion dynamics, diagnosis, reliable velocity estimation, vehicle dynamics BibRef

Bai, Y., Lou, Y., Gao, F., Wang, S., Wu, Y., Duan, L.,
Group-Sensitive Triplet Embedding for Vehicle Reidentification,
MultMed(20), No. 9, September 2018, pp. 2385-2399.
IEEE DOI 1809
learning (artificial intelligence), object recognition, traffic engineering computing, video surveillance, surveillance BibRef

Tian, W., Chen, L., Zou, K., Lauer, M.,
Vehicle Tracking at Nighttime by Kernelized Experts With Channel-Wise and Temporal Reliability Estimation,
ITS(19), No. 10, October 2018, pp. 3159-3169.
IEEE DOI 1810
Target tracking, Visualization, Training, Reliability, Correlation, Image color analysis, Lighting, Nighttime vehicle tracking, weather robustness BibRef

Lee, C.J.[Chang Joo], Kim, K.E.[Kyeong Eun], Lim, M.T.[Myo Taeg],
Sensor fusion for vehicle tracking based on the estimated probability,
IET-ITS(12), No. 10, December 2018, pp. 1386-1395.
DOI Link 1812
BibRef

Zhang, H.B.[Hai-Bo],
Geometric discriminative deep features for traffic image analysis,
JVCIR(57), 2018, pp. 163-171.
Elsevier DOI 1812
Deep features, Traffic image analysis BibRef

Min, W., Fan, M., Guo, X., Han, Q.,
A New Approach to Track Multiple Vehicles With the Combination of Robust Detection and Two Classifiers,
ITS(19), No. 1, January 2018, pp. 174-186.
IEEE DOI 1801
Adaptive optics, Feature extraction, Interference, Object detection, Optical imaging, Robustness, support vector machine (SVM) BibRef

Song, D., Tharmarasa, R., Zhou, G., Florea, M.C., Duclos-Hindie, N., Kirubarajan, T.,
Multi-Vehicle Tracking Using Microscopic Traffic Models,
ITS(20), No. 1, January 2019, pp. 149-161.
IEEE DOI 1901
Roads, Vehicle dynamics, Dynamics, Microscopy, Adaptation models, Target tracking, Microscopic traffic model (MTM), unscented transformation (UT) BibRef

Liu, B.[Ben], Tharmarasa, R.[Ratnasingham], Jassemi, R.[Rahim], Brown, D.[Daly], Kirubarajan, T.[Thia],
Extended Target Tracking With Multipath Detections, Terrain-Constrained Motion Model and Clutter,
ITS(22), No. 11, November 2021, pp. 7056-7072.
IEEE DOI 2112
Target tracking, Force, Measurement uncertainty, Uncertainty, Clustering algorithms, Clutter, Computational modeling, variational Bayesian clustering BibRef

Liu, B.[Ben], Tharmarasa, R.[Ratnasingham], Jassemi, R.[Rahim], Brown, D.[Daly], Kirubarajan, T.[Thia],
RFS-Based Multiple Extended Target Tracking With Resolved Multipath Detections in Clutter,
ITS(24), No. 10, October 2023, pp. 10400-10409.
IEEE DOI 2310
BibRef

Kong, X.F.[Xiao-Fang], Chen, Q.[Qian], Gu, G.H.[Guo-Hua], Ren, K.[Kan], Qian, W.X.[Wei-Xian], Liu, Z.W.[Ze-Wei],
Particle filter-based vehicle tracking via HOG features after image stabilisation in intelligent drive system,
IET-ITS(13), No. 6, June 2019, pp. 942-949.
DOI Link 1906
BibRef

Scheel, A., Dietmayer, K.,
Tracking Multiple Vehicles Using a Variational Radar Model,
ITS(20), No. 10, October 2019, pp. 3721-3736.
IEEE DOI 1910
Radar tracking, Sensors, Radar measurements, Data models, Mathematical model, Tracking, Radar, tracking, variational methods, machine learning BibRef

Yu, X., Ding, N., Zhang, A., Qian, H.,
Cooperative Moving-Target Enclosing of Networked Vehicles With Constant Linear Velocities,
Cyber(50), No. 2, February 2020, pp. 798-809.
IEEE DOI 1912
Orbits, Angular velocity, Target tracking, Vehicle dynamics, Robot sensing systems, Cooperative control, velocity constraint BibRef

Dong, E.Z.[En-Zeng], Deng, M.T.[Meng-Tao], Tong, J.G.[Ji-Gang], Jia, C.[Chao], Du, S.Z.[Sheng-Zhi],
Moving vehicle tracking based on improved tracking-learning-detection algorithm,
IET-CV(13), No. 8, December 2019, pp. 730-741.
DOI Link 1912
BibRef

Luo, Z., Attari, M., Habibi, S., Mohrenschildt, M.V.,
Online Multiple Maneuvering Vehicle Tracking System Based on Multi-Model Smooth Variable Structure Filter,
ITS(21), No. 2, February 2020, pp. 603-616.
IEEE DOI 2002
Laser radar, Target tracking, Sensors, Real-time systems, Uncertainty, Measurement by laser beam, tracking and data association BibRef

Khalkhali, M.B.[Maryam Baradaran], Vahedian, A.[Abedin], Yazdi, H.S.[Hadi Sadoghi],
Multi-Target State Estimation Using Interactive Kalman Filter for Multi-Vehicle Tracking,
ITS(21), No. 3, March 2020, pp. 1131-1144.
IEEE DOI 2003
Kalman filters, Mathematical model, Target tracking, State estimation, Noise measurement, Games, time-varying weights BibRef

Khalkhali, M.B.[Maryam Baradaran], Vahedian, A.[Abedin], Yazdi, H.S.[Hadi Sadoghi],
Situation Assessment-Augmented Interactive Kalman Filter for Multi-Vehicle Tracking,
ITS(23), No. 4, April 2022, pp. 3766-3776.
IEEE DOI 2204
Kalman filters, Estimation, Radar tracking, Feature extraction, Data mining, Vehicles, Tools, Vehicle tracking, Kalman filter, situation assessment BibRef

Mou, L.T.[Lun-Tian], Xie, H.T.[Hai-Tao], Mao, S.S.[Sha-Sha], Zhao, P.F.[Peng-Fei], Chen, Y.Y.[Yan-Yan],
Vision-based vehicle behaviour analysis: a structured learning approach via convolutional neural networks,
IET-ITS(14), No. 7, July 2020, pp. 792-801.
DOI Link 2006
BibRef

Delavarian, M.[Mohadeseh], Marouzi, O.R.[Omid Reza], Hassanpour, H.[Hamid], Parizi, R.M.[Reza M.], Khan, M.S.[Mohammad S.],
Multi-camera multiple vehicle tracking in urban intersections based on multilayer graphs,
IET-ITS(14), No. 12, December 2020, pp. 1673-1690.
DOI Link 2011
BibRef

Hassaballah, M., Kenk, M.A.[Mourad A.], Muhammad, K.[Khan], Minaee, S.[Shervin],
Vehicle Detection and Tracking in Adverse Weather Using a Deep Learning Framework,
ITS(22), No. 7, July 2021, pp. 4230-4242.
IEEE DOI 2107
Meteorology, Lighting, Detectors, Vehicle detection, Image restoration, Image color analysis, Machine learning, intelligent transportation systems BibRef

Wu, Y.G.[Yi-Guang], Wang, M.Z.[Mei-Zhen], Liu, X.J.[Xue-Jun], Wang, Z.[Ziran], Ma, T.W.[Tian-Wu], Lu, Z.M.[Zhi-Min], Liu, D.[Dan], Xie, Y.J.[Yu-Jia], Li, X.Q.[Xiu-Quan], Wang, X.[Xing],
Monitoring the Work Cycles of Earthmoving Excavators in Earthmoving Projects Using UAV Remote Sensing,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Gao, J.J.[Jing-Jie], Zhang, Q.[Qian], Sun, H.[Huachao], Wang, W.[Wei],
A Multi-Sensor Interacted Vehicle-Tracking Algorithm with Time-Varying Observation Error,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Yuan, H.W.[Hong-Wei], Song, X.M.[Xin-Min],
A Modified EKF for Vehicle State Estimation With Partial Missing Measurements,
SPLetters(29), 2022, pp. 1594-1598.
IEEE DOI 2208
Signal processing algorithms, Packet loss, Kalman filters, State estimation, Heuristic algorithms, Wheels, vehicle estimation BibRef

Zhang, J.P.[Jun-Peng], Jia, X.P.[Xiu-Ping], Hu, J.K.[Jian-Kun], Tan, K.[Kun],
Moving Vehicle Detection for Remote Sensing Video Surveillance With Nonstationary Satellite Platform,
PAMI(44), No. 9, September 2022, pp. 5185-5198.
IEEE DOI 2208
Satellites, Matrix decomposition, Optimization, Optical sensors, Cameras, Sparse matrices, Remote sensing, Moving object detection, moving satellite platform BibRef

Salvoldi, M.[Manuel], Cohen-Zada, A.L.[Aviv L.], Karnieli, A.[Arnon],
Using the VENµS Super-Spectral Camera for detecting moving vehicles,
PandRS(192), 2022, pp. 33-48.
Elsevier DOI 2209
Object detection, Spectral change detection, normalized difference moving object index (NDMOI), Covid-19 BibRef

Gao, X.[Xiang], Chen, L.[Long], Tai, K.S.[Kang-Sheng], Cai, Y.F.[Ying-Feng], Wang, H.[Hai], Li, Y.C.[Yi-Cheng],
Deep learning-based hybrid model for the behaviour prediction of surrounding vehicles over long-time periods,
IET-ITS(16), No. 10, 2022, pp. 1404-1412.
DOI Link 2209
BibRef

Akbari, B.[Behzad], Zhu, H.B.[Hai-Bin],
Tracking Dependent Extended Targets Using Multi-Output Spatiotemporal Gaussian Processes,
ITS(23), No. 10, October 2022, pp. 18301-18314.
IEEE DOI 2210
Target tracking, Shape, Gaussian processes, Radar tracking, Mathematical models, Kinematics, Kernel, Multiple lane tracking, joint probability data association coupled filter BibRef

Zhang, R.[Rui], Tian, Y.[Yan], Xu, Z.C.[Zhao-Cheng], Liu, D.S.[Dong-Sheng],
Design of anchor boxes and data augmentation for transformer-based vehicle localization,
JVCIR(90), 2023, pp. 103711.
Elsevier DOI 2301
Object localization, Intelligent transportation systems, Data augmentation, Machine learning BibRef

Ahmed, M., Maher, A.[Ali], Bai, X.,
Aircraft tracking in aerial videos based on fused RetinaNet and low-score detection classification,
IET-IPR(17), No. 3, 2023, pp. 687-708.
DOI Link 2303
BibRef

Wang, G.M.[Guang-Ming], Peng, C.[Chensheng], Gu, Y.Y.[Ying-Ying], Zhang, J.P.[Jin-Peng], Wang, H.S.[He-Sheng],
Interactive Multi-Scale Fusion of 2D and 3D Features for Multi-Object Vehicle Tracking,
ITS(24), No. 10, October 2023, pp. 10618-10627.
IEEE DOI 2310
BibRef

Cheng, X.[Xin], Zhou, J.M.[Jing-Mei], Liu, P.Y.[Pei-Yuan], Zhao, X.M.[Xiang-Mo], Wang, H.F.[Hong-Fei],
3D Vehicle Object Tracking Algorithm Based on Bounding Box Similarity Measurement,
ITS(24), No. 12, December 2023, pp. 15844-15854.
IEEE DOI 2312
BibRef

Cao, X.M.[Xiao-Meng], Lan, J.[Jian], Liu, Y.[Yushuang], Tan, B.[Boyi],
Tracking of Rectangular Object Using Key Points With Regionally Concentrated Measurements,
ITS(25), No. 6, June 2024, pp. 5312-5327.
IEEE DOI 2406
Scattering, Radar tracking, Mathematical models, Noise measurement, Radar, Kinematics, Target tracking, Extended object tracking, local region BibRef

Sun, G.H.[Guo-Hao], Yan, K.[Kehuan], Fan, C.B.[Cheng-Bin],
Deep learning-based vehicle tracking and traffic event detection,
CVIDL23(522-526)
IEEE DOI 2403
Measurement, Deep learning, Event detection, Heuristic algorithms, Search problems, Real-time systems, Trajectory, Digital Twins, Data Mining BibRef

Ciampi, L.[Luca], Messina, N.[Nicola], Valenti, G.E.[Gaetano Emanuele], Amato, G.[Giuseppe], Falchi, F.[Fabrizio], Gennaro, C.[Claudio],
MC-GTA: A Synthetic Benchmark for Multi-camera Vehicle Tracking,
CIAP23(I:316-327).
Springer DOI 2312
BibRef

Nguyen-Ho, T.L.[Thang-Long], Pham, M.K.[Minh-Khoi], Nguyen, T.P.[Tien-Phat], Nguyen, H.D.[Hai-Dang], Do, M.N.[Minh N.], Nguyen, T.V.[Tam V.], Tran, M.T.[Minh-Triet],
Text Query based Traffic Video Event Retrieval with Global-Local Fusion Embedding,
AICity22(3133-3140)
IEEE DOI 2210
Training, Visualization, Target tracking, Image color analysis, Scalability, Urban areas, Training data BibRef

Liu, Y.M.[Yu-Ming], Zhang, X.C.[Xiao-Chun], Zhang, B.Z.[Bing-Zhen], Zhang, X.Y.[Xiao-Yong], Wang, S.[Sen], Xu, J.R.[Jiang-Rong],
Multi-Camera Vehicle Tracking Based on Occlusion-aware and Inter-vehicle Information,
AICity22(3256-3263)
IEEE DOI 2210
Smart cities, Vehicle detection, Cameras, Feature extraction BibRef

Ren, P.F.[Peng-Fei], Lu, K.[Kang], Yang, Y.[Yu], Yang, Y.[Yun], Sun, G.Z.[Guang-Ze], Wang, W.[Wei], Wang, G.[Gang], Cao, J.L.[Jun-Liang], Zhao, Z.F.[Zhi-Feng], Liu, W.[Wei],
Multi-Camera Vehicle Tracking System Based on Spatial-Temporal Filtering,
AICity21(4208-4214)
IEEE DOI 2109
Matched filters, Target tracking, Vehicle detection, Urban areas, Lighting, Feature extraction, Cameras BibRef

Hu, F.Y.[Fei-Yan], Venkatesh, G.M., O'Connor, N.E.[Noel E.], Smeaton, A.F.[Alan F.], Little, S.[Suzanne],
Utilising Visual Attention Cues for Vehicle Detection and Tracking,
ICPR21(5535-5542)
IEEE DOI 2105
Visualization, Monte Carlo methods, Vehicle detection, Neural networks, Detectors, Object detection, Feature extraction BibRef

Ooi, H.L.[Hui-Lee], Bilodeau, G.A.[Guillaume-Alexandre], Saunier, N.[Nicolas],
Supervised and Unsupervised Detections for Multiple Object Tracking in Traffic Scenes: A Comparative Study,
ICIAR20(I:42-55).
Springer DOI 2007
BibRef

Gan, C., Zhao, H., Chen, P., Cox, D., Torralba, A.,
Self-Supervised Moving Vehicle Tracking With Stereo Sound,
ICCV19(7052-7061)
IEEE DOI 2004
audio signal processing, image motion analysis, object tracking, road vehicles, traffic engineering computing, Convolution BibRef

Belbachir, N., Noori, N., Akdemir, B.,
Real-Time Vehicle Localization using on-Board Visual SLAM for Detection and Tracking,
AutoNUE19(4291-4295)
IEEE DOI 2004
cameras, Global Positioning System, image sensors, mobile robots, robot vision, SLAM (robots), vehicles, tracking system, unconstrained outdoor environment BibRef

Bo, N.B.[Nyan Bo], Slembrouck, M.[Maarten], Veelaert, P.[Peter], Philips, W.[Wilfried],
Distributed Multi-class Road User Tracking in Multi-camera Network For Smart Traffic Applications,
ACIVS20(517-528).
Springer DOI 2003
BibRef

Vu, T.H.[Tuan-Hung], Boonaert, J.[Jacques], Ambellouis, S.[Sebastien], Ahmed, A.T.[Abdelmalik Taleb],
Vehicles Tracking by Combining Convolutional Neural Network Based Segmentation and Optical Flow Estimation,
ACIVS20(529-540).
Springer DOI 2003
BibRef

Huang, K.[Kun], Wang, Y.[Yifu], Kneip, L.[Laurent],
Motion Estimation of Non-Holonomic Ground Vehicles From a Single Feature Correspondence Measured Over N Views,
CVPR19(12698-12707).
IEEE DOI 2002
BibRef

Akdemir, B., Belbachir, A.N., Svendsen, L.M.,
Real-time Vehicle Localization and Tracking Using Monocular Panomorph Panoramic Vision,
ICPR18(2350-2355)
IEEE DOI 1812
Cameras, Lenses, Visualization, Image resolution, Feature extraction, Real-time systems, Distortion, panomorph, panoramic vision, localization and tracking BibRef

Wu, S.J.[Si-Jie], Niu, S.S.[Sai-Sai], Zhang, K.[Kai], Yan, J.[Jie],
An Aircraft Tracking Method in Simulated Infrared Image Sequences Based on Regional Distribution,
PSIVTWS17(343-355).
Springer DOI 1806
BibRef

Bochinski, E., Eiselein, V., Sikora, T.,
High-Speed tracking-by-detection without using image information,
AVSS17(1-6)
IEEE DOI 1806
object detection, object tracking, DETRAC vehicle tracking dataset, commonly higher frame rates, Visualization BibRef

Jin, Y., Eriksson, J.,
Fully Automatic, Real-Time Vehicle Tracking for Surveillance Video,
CRV17(147-154)
IEEE DOI 1804
image sequences, lighting, object detection, object tracking, traffic engineering computing, video signal processing, Optical variables measurement BibRef

Wang, X., Li, H., Li, Y., Porikli, F.M.[Fatih M.], Wang, M.,
Deep tracking with objectness,
ICIP17(660-664)
IEEE DOI 1803
Automobiles, Benchmark testing, Detectors, Feature extraction, Target tracking, Task analysis, Visualization, deep learning, visual tracking BibRef

Spraul, R., Hartung, C., Schuchert, T.,
Persistent multiple hypothesis tracking for wide area motion imagery,
ICIP17(1142-1142)
IEEE DOI 1803
Clutter, Current measurement, Histograms, Motion detection, Target tracking, Vehicle detection, multi-target tracking, wide area motion imagery BibRef

Palaniappan, K., Poostchi, M., Aliakbarpour, H., Viguier, R., Fraser, J., Bunyak, F., Basharat, A., Suddarth, S., Blasch, E., Rao, R.M., Seetharaman, G.,
Moving object detection for vehicle tracking in Wide Area Motion Imagery using 4D filtering,
ICPR16(2830-2835)
IEEE DOI 1705
Buildings, Cameras, Image resolution, Motion detection, Object detection BibRef

Mori, S., Kasahara, Y., Abe, T., Suganuma, T.,
Robust region extraction of moving objects in dynamic background,
ICPR16(1971-1976)
IEEE DOI 1705
Adaptation models, Image sequences, Robustness, Stability analysis, Vehicle dynamics BibRef

Sommer, L.[Lars], Krüger, W.[Wolfgang], Teutsch, M.[Michael],
Appearance and Motion Based Persistent Multiple Object Tracking in Wide Area Motion Imagery,
WAAMI21(3871-3881)
IEEE DOI 2112
Image quality, Visualization, Tracking, Urban areas, Object detection, Search problems, Cameras BibRef

Teutsch, M., Grinberg, M.,
Robust Detection of Moving Vehicles in Wide Area Motion Imagery,
MoveSurveillance16(1434-1442)
IEEE DOI 1612
BibRef

Kurz, F., Rosenbaum, D., Runge, H., Cerra, D., Mattyus, G., Reinartz, P.,
Long-term Tracking Of A Specific Vehicle Using Airborne Optical Camera Systems,
ISPRS16(B2: 521-525).
DOI Link 1610
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Miah, S., Kaparias, I., Liatsis, P.,
Evaluation of MEMS sensors accuracy for bicycle tracking and positioning,
WSSIP15(299-303)
IEEE DOI 1603
angular measurement BibRef

Tang, K.P.K., Ngan, H.Y.T.,
Robust vehicle edge detection by cross filter method,
AIPR14(1-7)
IEEE DOI 1504
edge detection BibRef

Lee, J.D.[Jiann-Der], Wu, J.T.[Jun-Ting], Hsieh, C.H.[Chung-Hung], Chien, J.C.[Jong-Chih],
Close range vehicle detection and tracking by vehicle lights,
AVSS14(381-386)
IEEE DOI 1411
Cameras BibRef

Zhang, Z.B.[Zhi-Bin], Li, X.Z.[Xue-Zhen], Kurita, T., Tanaka, S.,
Pixel-Pair Features Selection for Vehicle Tracking,
ACPR13(471-475)
IEEE DOI 1408
image matching BibRef

Keck, M., Galup, L., Stauffer, C.,
Real-time tracking of low-resolution vehicles for wide-area persistent surveillance,
WACV13(441-448).
IEEE DOI 1303
BibRef

Liu, L.W.[Li-Wei], Xing, J.L.[Jun-Liang], Ai, H.Z.[Hai-Zhou], Lao, S.H.[Shi-Hong],
Semantic superpixel based vehicle tracking,
ICPR12(2222-2225).
WWW Link. 1302
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Shi, X.C.[Xin-Chu], Ling, H.B.[Hai-Bin], Blasch, E.P.[Erik P.], Hu, W.M.[Wei-Ming],
Context-driven moving vehicle detection in wide area motion imagery,
ICPR12(2512-2515).
WWW Link. 1302
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Gao, D.[Dashan], Yao, Y.[Yi], Pan, F.[Feng], Yu, T.[Ting], Yu, B.[Bing], Guan, L.[Li], Dixon, W.[Walter], Yanoff, B.[Brian], Tian, T.P.[Tai-Peng], Krahnstoever, N.[Nils],
Computer vision aided target linked radiation imaging,
CVPR12(1162-1169).
IEEE DOI 1208
Video tracking in radiation detection. BibRef

Fang, W.[Wei], Zhao, Y.[Yong], Yuan, Y.[Yule], Liu, K.[Kai],
Real-Time Multiple Vehicles Tracking with Occlusion Handling,
ICIG11(667-672).
IEEE DOI 1109
BibRef

Matei, B.C.[Bogdan C.], Sawhney, H.S.[Harpreet S.], Samarasekera, S.[Supun],
Vehicle tracking across nonoverlapping cameras using joint kinematic and appearance features,
CVPR11(3465-3472).
IEEE DOI 1106
BibRef

Kallen, H.[Hanna], Ardo, H.[Hakan], Enqvist, O.[Olof],
Tracking and reconstruction of vehicles for accurate position estimation,
WACV11(110-117).
IEEE DOI 1101
BibRef

Lin, C.C.[Chung-Ching], Wolf, M.[Marilyn],
Dynamic Multi-vehicle Detection and Tracking from a Moving Platform,
SISM13(781-787)
IEEE DOI 1309
BibRef
Earlier:
Monocular Online Learning for Road Region Labeling and Object Detection from a Moving Platform,
ISVC11(II: 456-465).
Springer DOI 1109
BibRef
Earlier:
Detecting Moving Objects Using a Camera on a Moving Platform,
ICPR10(460-463).
IEEE DOI 1008
MCMC; detection; moving camera; particle filtering; superpixel; tracking BibRef

Onoguchi, K.[Kazunori],
Overlap Vehicle Detection by Tracking Horizontal Lines,
MVA09(211-).
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Piecha, J.[Jan], Staniek, M.[Marcin],
The Context-Sensitive Grammar for Vehicle Movement Description,
ICCVG10(II: 193-202).
Springer DOI 1009
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Active lighting learning for 3D model based vehicle tracking,
OTCBVS10(38-43).
IEEE DOI 1006
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Huang, L.[Lian], Li, Q.Q.[Qing-Quan],
Automatic activity identifaction from raw GPS vehicle tracking data,
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Vehicle tracking using a human-vision-based model of visual similarity,
Southwest10(37-40).
IEEE DOI 1005
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Zhu, J.[Juan], Kong, Y.P.[Yong-Ping],
Research on Intelligent Transportation Vehicle Detection and Tracking Algorithms Based on Video,
CISP09(1-4).
IEEE DOI 0910
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Tsin, Y.H.[Yang-Hai], Genc, Y.[Yakup], Ramesh, V.[Visvanathan],
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IEEE DOI 0909
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Zhu, P.F.[Peng-Fei], Hu, W.M.[Wei-Ming], Li, X.[Xi], Li, L.[Li],
Segment Model Based Vehicle Motion Analysis,
AVSBS09(514-517).
IEEE DOI 0909
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Gambotto, J.P.[Jean-Pierre], Marraud, D.[Denis], Reithler, L.[Livier],
Super-Resolution of Moving Vehicles Using an Affine Motion Model,
AVSBS09(535-540).
IEEE DOI 0909
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Deboeverie, F.[Francis], Teelen, K.[Kristof], Veelaert, P.[Peter], Philips, W.[Wilfried],
Vehicle Tracking Using Geometric Features,
ACIVS09(506-515).
Springer DOI 0909
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Fefilatyev, S.[Sergiy], Goldgof, D.[Dmitry],
Detection and tracking of marine vehicles in video,
ICPR08(1-4).
IEEE DOI 0812
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Lee, S.C.[Sung Chun], Nevatia, R.[Ram],
Speed Performance Improvement of Vehicle Blob Tracking System,
MTPH07(xx-yy).
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Stergiou, A.[Andreas], Pnevmatikakis, A.[Aristodemos], Polymenakos, L.[Lazaros],
The AIT Outdoor Tracker for Vehicles and Pedestrians in CLEAR2007,
MTPH07(xx-yy).
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WACV08(1-6).
IEEE DOI 0801
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Choi, J.Y.[Jae-Young], Choi, J.W.[Jin-Woo], Yang, Y.K.[Young-Kyu],
Improved Tracking of Multiple Vehicles Using Invariant Feature-Based Matching,
PReMI07(649-656).
Springer DOI 0712
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Narayana, M.[Manjunath], Haverkamp, D.[Donna],
A Bayesian algorithm for tracking multiple moving objects in outdoor surveillance video,
OTCBVS07(1-8).
IEEE DOI 0706
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Chen, Y.X.[Yi-Xin], Das, M.[Manohar], Bajpai, D.[Devendra],
Vehicle Tracking and Distance Estimation Based on Multiple Image Features,
CRV07(371-378).
IEEE DOI 0705
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Jamasbi, B., Motamedi, S.A., Behrad, A.,
Tracking vehicle targets with large aspect change,
Motion07(22-22).
IEEE DOI 0702
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Fu, C.M.[Chih-Ming], Huang, C.L.[Chung-Lin], Chen, Y.S.[Yi-Sheng],
Vision-Based Preceding Vehicle Detection and Tracking,
ICPR06(II: 1070-1073).
IEEE DOI 0609
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Lin, S.P.[Shin-Ping], Chen, Y.H.[Yuan-Hsin], Wu, B.F.[Bing-Fei],
A Real-Time Multiple-Vehicle Detection and Tracking System with Prior Occlusion Detection and Resolution, and Prior Queue Detection and Resolution,
ICPR06(I: 828-831).
IEEE DOI 0609
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Ardo, H.[Hakan],
Learning Based System for Detection and Tracking of Vehicles,
SCIA05(449-458).
Springer DOI 0506
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Song, X.F.[Xue-Feng], Nevatia, R.[Ram],
Detection and Tracking of Moving Vehicles in Crowded Scenes,
Motion07(4-4).
IEEE DOI 0702
BibRef
Earlier:
A Model-Based Vehicle Segmentation Method for Tracking,
ICCV05(II: 1124-1131).
IEEE DOI 0510
BibRef

Melli, R.[Rudy], Prati, A.[Andrea], Cucchiara, R.[Rita], de Cock, L.[Lieven],
Predictive and Probabilistic Tracking to Detect Stopped Vehicles,
WACV05(I: 388-393).
IEEE DOI 0502
BibRef

Chateau, T., Lapreste, J.T.,
Robust real time tracking of a vehicle by image processing,
IVS04(315-318).
IEEE DOI 0411
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Escamilla-Ambrosio, P.J., Lieven, N.,
A multiple-sensor multiple-target tracking approach for the autotaxi system,
IVS04(601-606).
IEEE DOI 0411
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Kaempchen, N., Weiss, K., Schaefer, M., Dietmayer, K.C.J.,
IMM object tracking for high dynamic driving maneuvers,
IVS04(825-830).
IEEE DOI 0411
BibRef

Mobus, R., Kolbe, U.,
Multi-target multi-object tracking, sensor fusion of radar and infrared,
IVS04(732-737).
IEEE DOI 0411
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Weiss, K., Kaempchen, N., Kirchner, A.,
Multiple-model tracking for the detection of lane change maneuvers,
IVS04(937-942).
IEEE DOI 0411
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Li, X.[Xin], Yao, X.C.[Xiao Cao], Murphey, Y.L., Karlsen, R.E., Gerhart, G.R.,
A real-time vehicle detection and tracking system in outdoor traffic scenes,
ICPR04(II: 761-764).
IEEE DOI 0409
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Kim, Z.[ZuWhan],
Real time object tracking based on dynamic feature grouping with background subtraction,
CVPR08(1-8).
IEEE DOI 0806
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Bevilacqua, A.[Alessandro], Vaccari, S.[Stefano],
Real time detection of stopped vehicles in traffic scenes,
AVSBS07(266-270).
IEEE DOI 0709
BibRef
Earlier:
A Novel Spatio-temporal Approach to Handle Occlusions in Vehicle Tracking,
ICIAR06(I: 910-921).
Springer DOI 0610
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Bevilacqua, A.[Alessandro], di Stefano, L.[Luigi], Vaccari, S.[Stefano],
Using local and global object's information to track vehicles in urban scenes,
AVSBS05(52-57).
IEEE DOI 0602
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And:
Occlusion Robust Vehicle Tracking based on SOM (Self-Organizing Map),
Motion05(II: 84-89).
IEEE DOI 0502
BibRef
Earlier:
High Quality-Speed Dilemma: A Comparison Between Segmentation Methods for Traffic Monitoring Applications,
ICIAR04(II: 481-488).
Springer DOI 0409
BibRef

Kim, Z.[ZuWhan], Malik, J.,
Fast vehicle detection with probabilistic feature grouping and its application to vehicle tracking,
ICCV03(524-531).
IEEE DOI 0311
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Zeng, Z.H.[Zhi-Hong], Ma, S.D.[Song-De],
An efficient vision system for multiple car tracking,
ICPR02(II: 609-612).
IEEE DOI 0211
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Fan, Z.M.[Zhi-Min], Zhou, J.[Jie], Gao, D.S.[Da-Shan], Rong, G.[Gang],
Robust contour extraction for moving vehicle tracking,
ICIP02(III: 625-628).
IEEE DOI 0210
BibRef

Leuck, H.[Holger], Nagel, H.H.[Hans-Hellmut],
Model-Based Initialisation of Vehicle Tracking: Dependency on Illumination,
ICCV01(I: 309-314).
IEEE DOI 0106
BibRef

Avidon, S.,
Support Vector Tracking,
CVPR01(I:184-191).
IEEE DOI 0110
Vehicle Tracking. BibRef

Rajagopalan, A.N., Chellappa, R.,
Vehicle Detection and Tracking in Video,
ICIP00(Vol I: 351-354).
IEEE DOI 0008
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Nagel, H.H., Schwarz, T., Leuck, H., Haag, M.,
T3wT: Tracking Turning Trucks with Trailers,
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Haag, M., Nagel, H.H.,
Beginning a Transition from a Local to a More Global Point of View in Model-Based Vehicle Tracking,
ECCV98(I: 812).
Springer DOI BibRef 9800

Zhao, L.[Liang], Thorpe, C.E.[Chuck E.],
Qualitative and Quantitative Car Tracking from a Range Image Sequence,
CVPR98(496-501).
IEEE DOI BibRef 9800

Ben Hadj Ali, M., Ebbecke, M., and Dengel, A.R.,
Real Time Object Detection, Tracking and Classification in Monocular Image Sequences of Road Traffic Scenes,
ICIP97(II: 402-405).
IEEE DOI BibRef 9700

Uenohara, U., and Kanade, T.,
Geometric Invariants for Verification in 3-D Object Tracking,
IROS96(785-790). BibRef 9600

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Vehicle Trajectory Analysis, Prediction .