Computer vision traffic sensor for fixed and pan-tilt-zoom cameras, Transportation Research Board, 2010. ,
A Method for Vehicle Count in the Presence of Multiple-Vehicle Occlusions in Traffic Images, IEEE Transactions on Intelligent Transportation Systems, vol.8, issue.3, pp.441-459, 2007. ,
DOI : 10.1109/TITS.2007.902647
Incremental recognition of traffic situations from video image sequences, Image and Vision Computing, vol.18, issue.2, pp.137-153, 2000. ,
DOI : 10.1016/S0262-8856(99)00021-9
Adaptive Multicue Background Subtraction for Robust Vehicle Counting and Classification, IEEE Transactions on Intelligent Transportation Systems, vol.13, issue.2, pp.527-540, 2012. ,
DOI : 10.1109/TITS.2011.2174358
Adaptive Model for Foreground Extraction in Adverse Lighting Conditions, Lec. Notes Comput. Sci, vol.3157, pp.805-811, 2004. ,
DOI : 10.1007/978-3-540-28633-2_85
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.91.2337
Real-time foreground???background segmentation using codebook model, Real-Time Imaging, vol.11, issue.3, pp.172-185, 2005. ,
DOI : 10.1016/j.rti.2004.12.004
URL : https://zenodo.org/record/9800/files/Kim-RTI2005-FinalPublished.pdf
Pfinder: real-time tracking of the human body, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.7, pp.780-785, 1997. ,
DOI : 10.1109/34.598236
Background estimation and removal based on range and color, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), pp.459-464, 1999. ,
DOI : 10.1109/CVPR.1999.784721
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.4835
Adaptive background mixture models for real-time tracking, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), pp.2246-2252, 1999. ,
DOI : 10.1109/CVPR.1999.784637
Learning patterns of activity using real-time tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.8, pp.747-757, 2000. ,
DOI : 10.1109/34.868677
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.1457
Foreground segmentation using adaptive mixture models in color and depth, Proceedings IEEE Workshop on Detection and Recognition of Events in Video, pp.3-11, 2001. ,
DOI : 10.1109/EVENT.2001.938860
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.24.39
A Probabilistic Background Model for Tracking, Proc. ECCV, pp.336-350, 2000. ,
DOI : 10.1007/3-540-45053-X_22
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.663
Topology free hidden Markov models: application to background modeling, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.294-301, 2001. ,
DOI : 10.1109/ICCV.2001.937532
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.24.3528
A color similarity measure for robust shadow removal in real time, Proc. of the Vision, Modeling and Visualization Conf, pp.253-260, 2003. ,
Moving Shadow Detection with Low- and Mid-Level Reasoning, Proceedings 2007 IEEE International Conference on Robotics and Automation, pp.4827-4832, 2007. ,
DOI : 10.1109/ROBOT.2007.364223
URL : http://airvl.cs.umn.edu/its/AjayShadowICRA.pdf
Investigation into Shadow Removal from Traffic Images, Transportation Research Record: Journal of the Transportation Research Board, vol.2000, pp.70-77, 2000. ,
DOI : 10.3141/2000-09
Detection and Tracking of Moving Vehicles in Crowded Scenes, 2007 IEEE Workshop on Motion and Video Computing (WMVC'07), pp.4-8, 2007. ,
DOI : 10.1109/WMVC.2007.13
Detection and removal of chromatic moving shadows in surveillance scenarios, 2009 IEEE 12th International Conference on Computer Vision, pp.1499-1506, 2009. ,
DOI : 10.1109/ICCV.2009.5459280
Combining shadow detection and simulation for estimation of vehicle size and position, Pattern Recognition Letters, vol.30, issue.8, pp.751-759, 2009. ,
DOI : 10.1016/j.patrec.2009.03.005
Shadow detection: A survey and comparative evaluation of recent methods, Pattern Recognition, vol.45, issue.4, pp.1684-1695, 2012. ,
DOI : 10.1016/j.patcog.2011.10.001
A real-time computer vision system for vehicle tracking and traffic surveillance, Transportation Research Part C: Emerging Technologies, vol.6, issue.4, pp.271-288, 1998. ,
DOI : 10.1016/S0968-090X(98)00019-9
URL : http://HTTP.CS.Berkeley.EDU/~zephyr/resume/TR-Crw.pdf
Moving shadow detection and removal for traffic sequences, International Journal of Automation and Computing, vol.12, issue.2, pp.38-46, 2007. ,
DOI : 10.1007/s11633-007-0038-z
A computational approach to edge detection, IEEE Trans. Pattern Anal. Mach. Intell. PAMI, vol.8, pp.679-698, 1986. ,
Tracking and Segmentation of Highway Vehicles in Cluttered and Crowded Scenes, 2008 IEEE Workshop on Applications of Computer Vision, pp.1-6, 2008. ,
DOI : 10.1109/WACV.2008.4544017
Minimum error thresholding, Pattern Recognition, vol.19, issue.1, pp.41-47, 1986. ,
DOI : 10.1016/0031-3203(86)90030-0
Detecting moving shadows: algorithms and evaluation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.7, pp.918-923, 2003. ,
DOI : 10.1109/TPAMI.2003.1206520
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.7949
Moving shadow and object detection in traffic scenes, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, pp.321-324, 2000. ,
DOI : 10.1109/ICPR.2000.905341
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.2879
Distributed video networks for incident detection and management, ITSC2000. 2000 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.00TH8493), pp.155-160, 2000. ,
DOI : 10.1109/ITSC.2000.881042
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.971