Real-time outdoor video surveillance with robust foreground extraction and object tracking via multi-state transition management

Pattern Recognition Letters

Volumn 27, Issue 15, 2006, Pages 1816-1825

  Lei, Bangjun ^a   Xu, Li Qun ^a  

^a MARTLESHAM HEATH   (United Kingdom)

Author keywords

Change detection; Illumination invariance; Moving shadow removal; Multi state representation; Object tracking; Real time system; Video surveillance

Indexed keywords

ALGORITHMS; COMPUTER SOFTWARE; FEATURE EXTRACTION; OBJECT RECOGNITION; ROBUSTNESS (CONTROL SYSTEMS); TRACKING (POSITION);

BRIGHTNESS DISTORTION; CHANGE DETECTION; ILLUMINATION INVARIANCE; MOVING SHADOW REMOVAL; MULTI-STATE REPRESENTATION; OBJECT TRACKING; VIDEO SURVEILLANCE;

REAL TIME SYSTEMS;

EID: 33748663558     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2006.02.017     Document Type: Article

References (25)

1. Balcells-Capellades M., DeMenthon D., and Doermann D. An appearance-based approach for consistent labeling of humans and objects in video. Pattern Anal Appl 7 4 (2004) 373-385
2. Cavallaro, A., Salvador, E., Ebrahimi, T., 2004. Detecting shadows in image sequences. In: Proc. of IEE Conf. on Visual Media Production (CVMP'04), London, UK, pp. 165-174.
3. Cucchiara R., Grana C., Piccardi M., and Prati A. Detecting moving objects, ghosts, and shadows in video streams. IEEE Trans. Pattern Anal Mach Intell 25 10 (2003) 1337-1342
4. Cucchiara, R., Grana, C., Tardini, G.R., Vezzani, R., 2004. Probabilistic people tracking for occlusion handling. In: Proc. of 17th Intl. Conference on Pattern Recognition, Cambridge, England, pp. 132-135.
5. Elgammal A., Duriswami R., Harwood D., and Davis L.S. Background and foreground modeling using nonparametric Kernel density estimation for visual surveillance. Proc. IEEE 90 7 (2002) 1151-1163
6. Forsyth D.A., and Ponce J. Computer Vision: A Modern Approach (2003), Prentice Hall
7. Haritaoglu I., Harwood D., and Davis L.S. W4: real-time surveillance of people and their activities. IEEE Trans. PAMI 22 8 (2000) 809-830
8. Harville, M., Gordon, G., Woodfill, J., 2001. Foreground segmentation using adaptive mixture models in color and depth. In: Proc. of IEEE Workshop on Detection and Recognition of Events in Video. pp. 3-11.
9. Horprasert, T., Harwood, D., Davis, L.S., 1999. A statistical approach for real-time robust background subtraction and shadow detection. In: Proc. of IEEE ICCV'99 Frame-Rate Workshop, Corfu, Greece, September.
10. Javed, O., Shah, M., 2002. Tracking and object classification for automated surveillance. In: Proc. of 7th European Conference on Computer Vision, Copenhagen, Denmark, pp. 342-357.
11. KaewTraKulPong P., and Bowden R. A real-time adaptive visual surveillance system for tracking low resolution colour targets in dynamically changing scenes. Image Vision Comput. 21 10 (2003) 913-929
12. Lei, B., Xu, L.-Q., 2005. From pixels to objects and trajectories: a generic real-time outdoor video surveillance system. In: Proc. of IEE Intl. Symposium on Imaging for Crime Detection and Prevention (ICDP'05), London, UK, pp. 117-123.
13. Lewis J.P. Fast template matching. Vision Interface (1995) 120-123
14. Lipton, A., Fujiyoshi, H., Patil, R., 1998. Moving target classification and tracking from real-time video. In: Proc. of IEEE Workshop on Applications of Computer Vision. Princeton, NJ, USA, pp. 8-14.
15. McKenna S.J., Jabri S., Duric Z., Rosenfeld A., and Wechsler H. Tracking groups of people. Computer Vision and Image Understanding 80 1 (2000) 42-56
16. Radke R.J., Andra S., Al-Kofahi O., and Roysam B. Image change detection algorithms: a systematic survey. IEEE Trans. Image Process. 14 3 (2005) 294-307
17. Stauffer, C., 2003. Estimating tracking sources and sinks. In: Proc. of 2nd IEEE Workshop on Event Mining: Detection and Recognition of Events in Video. Madison, Wisconsin, July 2003.
18. Stauffer C., and Grimson W.E.L. Learning patterns of activity using real time tracking. IEEE Trans. PAMI 22 8 (2000) 747-757
19. Wren C.R., Azarbayejani A., Darrell T., and Pentland A. Pfinder: real-time tracking of the human body. IEEE Trans. PAMI 19 7 (1997) 780-785
20. Xu, M., Ellis, T.J., 2002. Partial observation vs. blind tracking through occlusion. In: Proc. of British Machine Vision Conference 2002, Cardiff, UK, pp. 777-786.
21. Xu, L.Q., Puig, P., 2005. A hybrid blob- and appearance-based framework for multi-object tracking through complex occlusions. In: Proc. of 2nd Joint IEEE VS-PETS Workshop. Beijing, China, pp. 73-80.
22. Xu L.-Q., Landabaso J.-L., and Lei B.J. Segmentation and tracking of multiple moving objects for intelligent video analysis. BT Technol. J. 22 3 (2004) 140-150
23. Xu, L.-Q., Landabaso, J.L., Pardas, M., 2005. Shadow removal with blob-based morphological reconstruction for error correction. In: Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP'2005), Philadelphia, USA, vol. 2, pp. 729-732.
24. Zhao T., and Nevatia R. Tracking multiple humans in complex situations. IEEE Trans. PAMI 26 9 (2004) 1208-1221
25. Zhou, Q., Aggarwal, J.K., 2001. Tracking and classifying moving objects from video. In: Proc. of 2nd IEEE Workshop on Performance Evaluation of Tracking and Surveillance (PETS), Kauai, USA, December 2001.