A video-based real-time vehicle counting system using adaptive background method

SITIS 2008 - Proceedings of the 4th International Conference on Signal Image Technology and Internet Based Systems

Volumn , Issue , 2008, Pages 523-528

  Lei, Manchuna ^a,b   Lefloch, Damien ^a   Gouton, Pierre ^a   Madani, Kadder ^b  

^a UNIVERSITÉ DE BOURGOGNE   (France)

^b CIP(Club Innovant et Pragmatique)   (France)

Author keywords

Adaptive background estimation; Shadow elimination; Video analysis; Virtual detector

Indexed keywords

DETECTORS; ESTIMATION; IMAGE PROCESSING; IMAGE SEGMENTATION; INTERNET;

ADAPTIVE BACKGROUND ESTIMATION; COLOR SPACES; COMPLEX SCENES; COUNTING SYSTEMS; DIFFERENT SIZES; GAUSSIAN; MOVING VEHICLES; REAL TIME; SHADOW ELIMINATION; SURVEILLANCE CAMERAS; TRAFFIC VIDEOS; VEHICLE COUNTING; VEHICLE DETECTIONS; VIDEO ANALYSIS; VIRTUAL DETECTOR;

SECURITY SYSTEMS;

EID: 60349097319     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SITIS.2008.91     Document Type: Conference Paper

References (8)

1. D. Lefloch, F. A. Cheikh, J.Y. Hardeberg, P. Gouton & R. Pcot-Clemente, "Real-time people counting system using a single video camera", Real-Time Image Processing, SPIE, 2008, pp. 681109-681109-12.
2. X-j. Tan, J. Li & C. Liu, "A video-based real-time vehicle detection method by classified background learning", World Transactions on Engineering and Technology Education Vol.6, No.l, 2007
3. A. Leone and C. Distante, "Shadow detection for moving objects based on texture analysis", Pattern Recognition 40, pp. 1222-1233, April 2007.
4. T. Kim, S. Lee, and J. Paik, "Evolutionary algorithm-based background generation for robust object detection", Lectures Notes in Computer Science, LNCS, Springer Berlin, 2006, 4113, pp. 542-552.
5. S. Cheung and C. Kamath, "Robust Techniques for Background Subtraction in Urban Traffic Video", Video Communications and Image Processing, SPIE Electronic Imaging, San Jose, January 2004.
6. C. Stauffer, and W.E.L. Grimson, "Adaptive background mixture models for real-time tracking", Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Fort Collins, USA, 2, 246-252 (1999).
7. C. Zhang, S. C. Chen, M. L. Shyu & S. Peeta, "Adaptive background learning for vehicle detection and spatio-temporal tracking", ICICS-PCM, 2003
8. Angie W. K. So, Kwan-Yee Kenneth Wong, Ronald H. Y. Chung, Francis Y. L, "Shadow detection for vehicles by locating the object-shadow boundary", SIP 2005: 315-319.