16.7.2.3 Vehicle Counting

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Vehicle Counting. Counting.

Bottesch, H.W.[H. Werner], Freas, D.A.[David A.],
Passive vehicle presence detection system,
US_Patent5,166,681, 07/30/1990.
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Pang, C.C.C., Lam, W.W.L., Yung, N.H.C.,
A Method for Vehicle Count in the Presence of Multiple-Vehicle Occlusions in Traffic Images,
ITS(8), No. 3, September 2007, pp. 441-459.
IEEE DOI 0710
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Hu, S.R., Wang, C.M.,
Vehicle Detector Deployment Strategies for the Estimation of Network Origin-Destination Demands Using Partial Link Traffic Counts,
ITS(9), No. 2, June 2008, pp. 288-300.
IEEE DOI 0806
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Unzueta, L., Nieto, M., Cortes, A., Barandiaran, J., Otaegui, O., Sanchez, P.,
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IEEE DOI 1206
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Somasundaram, G., Sivalingam, R., Morellas, V., Papanikolopoulos, N.,
Classification and Counting of Composite Objects in Traffic Scenes Using Global and Local Image Analysis,
ITS(14), No. 1, March 2013, pp. 69-81.
IEEE DOI 1303
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Zhao, R., Wang, X.,
Counting Vehicles from Semantic Regions,
ITS(14), No. 2, 2013, pp. 1016-1022.
IEEE DOI Clustering algorithms; Semantics; Tracking; Semantic region; vehicle counting 1307
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Taghvaeeyan, S., Rajamani, R.,
Portable Roadside Sensors for Vehicle Counting, Classification, and Speed Measurement,
ITS(15), No. 1, February 2014, pp. 73-83.
IEEE DOI 1403
Global Positioning System BibRef

Wang, R.[Rui], Zhang, L.[Lei], Xiao, K.[Kejiang], Sun, R.[Rongli], Cui, L.[Li],
EasiSee: Real-Time Vehicle Classification and Counting via Low-Cost Collaborative Sensing,
ITS(15), No. 1, February 2014, pp. 414-424.
IEEE DOI 1403
cameras BibRef

Moranduzzo, T., Melgani, F.,
Automatic Car Counting Method for Unmanned Aerial Vehicle Images,
GeoRS(52), No. 3, March 2014, pp. 1635-1647.
IEEE DOI 1403
automobiles BibRef

Liang, M.[Mingpei], Huang, X.Y.[Xin-Yu], Chen, C.H.[Chung-Hao], Chen, X.[Xin], Tokuta, A.[Alade],
Counting and Classification of Highway Vehicles by Regression Analysis,
ITS(16), No. 5, October 2015, pp. 2878-2888.
IEEE DOI 1511
image classification BibRef

Salvadori, C.[Claudio], Petracca, M.[Matteo], Bocchino, S.[Stefano], Pelliccia, R.[Riccardo], Pagano, P.[Paolo],
A low-cost vehicle counter for next-generation ITS,
RealTimeIP(10), No. 4, December 2015, pp. 741-757.
Springer DOI 1512
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Kamkar, S., Safabakhsh, R.,
Vehicle detection, counting and classification in various conditions,
IET-ITS(10), No. 6, 2016, pp. 406-413.
DOI Link 1608
feature extraction BibRef

Irhebhude, M.E.[Martins E.], Nawahda, A.[Amin], Edirisinghe, E.A.[Eran A.],
View Invariant Vehicle Type Recognition and Counting System using Multiple Features,
IJCVSP(6), No. 1, 2016, pp. 3.
PDF File. 1612
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Zhang, Y.S.[Yun-Sheng], Zhao, C.[Chihang], Zhang, Q.[Qiuge],
Counting vehicles in urban traffic scenes using foreground time-spatial images,
IET-ITS(11), No. 2, March 2017, pp. 61-67.
DOI Link 1703
BibRef

Xu, H.X.[Hai-Xia], Zhou, W.[Wei], Zhu, J.[Jiang], Huang, X.[Xia], Wang, W.[Wei],
Vehicle counting based on double virtual lines,
SIViP(11), No. 5, July 2017, pp. 905-912.
WWW Link. 1706
BibRef

Yang, H.H.[Hong-Hong], Qu, S.[Shiru],
Real-time vehicle detection and counting in complex traffic scenes using background subtraction model with low-rank decomposition,
IET-ITS(12), No. 1, February 2018, pp. 75-85.
DOI Link 1801
BibRef

Balid, W., Tafish, H., Refai, H.H.,
Intelligent Vehicle Counting and Classification Sensor for Real-Time Traffic Surveillance,
ITS(19), No. 6, June 2018, pp. 1784-1794.
IEEE DOI 1806
Algorithm design and analysis, Estimation, Magnetometers, Real-time systems, Reliability, Surveillance, Vehicle detection, vehicles detection and classification BibRef

Gao, Z., Zhai, R., Wang, P., Yan, X., Qin, H., Tang, Y., Ramesh, B.,
Synergizing Appearance and Motion With Low Rank Representation for Vehicle Counting and Traffic Flow Analysis,
ITS(19), No. 8, August 2018, pp. 2675-2685.
IEEE DOI 1808
Spatiotemporal phenomena, Vehicle detection, Robustness, Lighting, Cameras, Matrix decomposition, Training, Appearance and motion, traffic flow BibRef


Bouaich, S., Mahraz, M.A., Riffi, J., Tairi, H.,
Vehicle counting system in real-time,
ISCV18(1-4)
IEEE DOI 1807
image motion analysis, nearest neighbour methods, object detection, road traffic, road vehicles, virtual line BibRef

Zhang, S., Wu, G., Costeira, J.P., Moura, J.M.F.,
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras,
ICCV17(3687-3696)
IEEE DOI 1802
convolution, image resolution, learning (artificial intelligence), neural nets, Visualization BibRef

Hsieh, M.R., Lin, Y.L., Hsu, W.H.,
Drone-Based Object Counting by Spatially Regularized Regional Proposal Network,
ICCV17(4165-4173)
IEEE DOI 1802
SLAM (robots), automobiles, autonomous aerial vehicles, cameras, mobile robots, object detection, robot vision, LPNs, Videos BibRef

Zhu, J.L.[Jian-Liang], Ai, Y.F.[Yun-Feng], Tian, B.[Bin],
Real-time vehicle queue estimation of large-scale traffic scene,
ICIVC17(1160-1165)
IEEE DOI 1708
Algorithm design and analysis, Estimation, Head, Safety, background learning, high-speed toll station, vehicle queue estimation BibRef

Katsuki, T.[Takayuki], Morimura, T.[Tetsuro], Idé, T.[Tsuyoshi],
Unsupervised object counting without object recognition,
ICPR16(3627-3632)
IEEE DOI 1705
Cameras, Indexes, Object recognition, Pattern recognition, Training, Training, data BibRef

Lessard, A., Belisle, F., Bilodeau, G.A.[Guillaume-Alexandre], Saunier, N.,
The Counting App, or How to Count Vehicles in 500 Hours of Video,
Traffic16(1592-1600)
IEEE DOI 1612
BibRef

Liu, X., Wang, Z., Feng, J., Xi, H.,
Highway Vehicle Counting in Compressed Domain,
CVPR16(3016-3024)
IEEE DOI 1612
BibRef

Sakla, W.A.[Wesam A.], Konjevod, G.[Goran], Mundhenk, T.N.[T. Nathan],
Deep Multi-modal Vehicle Detection in Aerial ISR Imagery,
WACV17(916-923)
IEEE DOI 1609
Computer vision, Image color analysis, Object detection, Proposals, Spatial resolution, Vehicle, detection BibRef

Mundhenk, T.N.[T. Nathan], Konjevod, G.[Goran], Sakla, W.A.[Wesam A.], Boakye, K.[Kofi],
A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning,
ECCV16(III: 785-800).
Springer DOI 1611
BibRef

Quesada, J., Rodriguez, P.[Paul],
Automatic Vehicle Counting Method Based on Principal Component Pursuit Background Modeling,
ICIP16(3822-3826)
IEEE DOI 1610
Computer vision BibRef

Tourani, A., Shahbahrami, A.,
Vehicle counting method based on digital image processing algorithms,
IPRIA15(1-6)
IEEE DOI 1603
Kalman filters BibRef

Shirazi, M.S.[Mohammad Shokrolah], Morris, B.[Brendan],
Vision-Based Vehicle Counting with High Accuracy for Highways with Perspective View,
ISVC15(II: 809-818).
Springer DOI 1601
BibRef

Wang, W.[Wei], Gee, T.[Tim], Price, J.[Jeff], Qi, H.R.[Hai-Rong],
Real Time Multi-vehicle Tracking and Counting at Intersections from a Fisheye Camera,
WACV15(17-24)
IEEE DOI 1503
Cameras; Real-time systems; Space vehicles; Target tracking; Trajectory BibRef

Miller, N.[Nicholas], Thomas, M.A.[Mohan A.], Eichel, J.A.[Justin A.], Mishra, A.[Akshaya],
A Hidden Markov Model for Vehicle Detection and Counting,
CRV15(269-276)
IEEE DOI 1507
Detectors BibRef

Oñoro-Rubio, D.[Daniel], López-Sastre, R.J.[Roberto J.],
Towards Perspective-Free Object Counting with Deep Learning,
ECCV16(VII: 615-629).
Springer DOI 1611
BibRef

Guerrero-Gómez-Olmedo, R.[Ricardo], Torre-Jiménez, B.[Beatriz], López-Sastre, R.[Roberto], Maldonado-Bascón, S.[Saturnino], Oñoro-Rubio, D.[Daniel],
Extremely Overlapping Vehicle Counting,
IbPRIA15(423-431).
Springer DOI 1506
BibRef

Yuan, Y.[Yule], Zhao, Y.[Yong], Wang, X.[Xinan],
Day and night vehicle detection and counting in complex environment,
IVCNZ13(453-458)
IEEE DOI 1402
feature extraction BibRef

Tamersoy, B.[Birgi], Aggarwal, J.K.,
Counting Vehicles in Highway Surveillance Videos,
ICPR10(3631-3635).
IEEE DOI 1008
BibRef
Earlier:
Robust Vehicle Detection for Tracking in Highway Surveillance Videos Using Unsupervised Learning,
AVSBS09(529-534).
IEEE DOI 0909
BibRef

Hinz, S.[Stefan], Weihing, D.[Diana], Suchandt, S.[Steffen], Bamler, R.[Richard],
Detection and velocity estimation of moving vehicles in high-resolution spaceborne synthetic aperture radar data,
OTCBVS08(1-6).
IEEE DOI 0806
BibRef

Meyer, F.[Franz], Hinz, S.[Stefan], Laika, A.[Andreas], Suchandt, S.[Steffen], Bamler, R.[Richard],
Performance Analysis of Spaceborne SAR Vehicle Detection and Velocity Estimation,
PCV06(xx-yy).
PDF File. 0609
BibRef

Hinz, S.,
Detection and counting of cars in aerial images,
ICIP03(III: 997-1000).
IEEE DOI 0312
BibRef

Chiu, M.Y.[Ming-Yee], Depommier, R., Spindler, T.,
An embedded real-time vision system for 24-hour indoor/outdoor car-counting applications,
ICPR04(III: 338-341).
IEEE DOI 0409
BibRef

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


Last update:Aug 16, 2018 at 18:22:30