Robust real time moving people detection in surveillance scenarios

Proceedings - IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010

Volumn , Issue , 2010, Pages 241-247

  García Martín, Álvaro ^a   Martínez, José M ^a  

^a UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

MONITORING; OBJECT DETECTION; STATISTICAL TESTS;

COMPLEXITY LEVELS; MOTION SEGMENTATION; MOVING OBJECTS; MOVING PEOPLES; MOVING REGIONS; NON REAL TIME; REAL TIME ALGORITHMS; SURVEILLANCE VIDEO;

SECURITY SYSTEMS;

EID: 78449295206     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2010.33     Document Type: Conference Paper

References (33)

1. I. P. Alonso, D. F. Llorca, M. A. Sotelo, L. M. Bergasa, P. R. de Toro, J. Nuevo, M. Ocaña, and M. A. G. Garrido. Combination of feature extraction methods for svm pedestrian detection. IEEE Trans. on Intelligent Transportation Systems, 8(2):292-307, 2007.
2. M. Andriluka, S. Roth, and B. Schiele. People-tracking-by-detection and people-detection-by-tracking. In Proc. of CVPR, pages 1-8, 2008.
3. M. Andriluka, S. Roth, and B. Schiele. Pictorial structures revisited: People detection and articulated pose estimation. In Proc. of CVPR, pages 1014-1021, 2009.
4. T. J. Broida and R. Chellappa. Estimation of object motion parameters from noisy images. IEEE Trans. on Pattern Analysis and Machine Intelligence, 8(2):90-99, 1986. (Pubitemid 16575722)
5. A. Cavallaro and T. Ebrahimi. Video object extraction based on adaptive background and statistical change detection. In Proc. of SPIE, pages 465-475, 2001.
6. R. Cutler and L. S. Davis. Robust real-time periodic motion detection, analysis, and applications. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(8):781-796, 2000.
7. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In Proc. of CVPR, volume 1, pages 886-893, 2005.
8. M. B. Dillencourt, H. Samet, and M. Tamminen. A general approach to connected-component labeling for arbitrary image representations. Journal of the ACM, 39(2):253-280, 1992.
9. V. Fernández-Carbajales, M. A. García, and J. M. Martínez. Robust people detection by fusion of evidence from multiple methods. In Proc. of WIAMIS, pages 55-58, 2008.
10. Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Computer and System Sciences, 55(1):119-139, 1997.
11. D. M. Gavrila and S. Munder. Multi-cue pedestrian detection and tracking from a moving vehicle. International Journal of Computer Vision, 73(1):41-59, 2007. (Pubitemid 46181616)
12. D. M. Gavrila and S. Munder. Monocular pedestrian detection: Survey and experiments. IEEE Trans. on Pattern Analysis and Machine Intelligence, 31(12):2179-2195, 2009.
13. I. Haritaoglu, D. Harwood, and L. S. Davis. Ghost: a human body part labeling system using silhouettes. In Proc. of ICPR, volume 1, pages 77-82, 1998.
14. W. Hu, T. Tan, L.Wang, and S. Maybank. A survey on visual surveillance of object motion and behaviors. IEEE Trans. on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 34(3):334-352, 2004.
15. C. Huang, H. Al, B. Wu, and S. Lao. Boosting nested cascade detector for multi-view face detection. In Proc. of ICPR, volume 2, pages 415-418, 2004.
16. P. Kilambi, E. Ribnick, A. J. Joshi, O. Masoud, and N. Papanikolopoulos. Estimating pedestrian counts in groups. Computer Vision and Image Understarding, 110(1):43-59, 2008.
17. B. Leibe and B. Schiele. Scale invariant object categorization using a scale-adaptive mean-shift search. In Proc. of DAGM, volume 3175, pages 145-153, 2004.
18. R. Lienhart, A. Kuranov, and V. Pisarevsky. Empirical analysis of detection cascades of boosted classifiers for rapid object detection. In Lecture Notes in Computer Science, pages 297-304, 2003.
19. K. N. Platanioitis and C. S. Regazzoni. Visual-centric surveillance networks and services. IEEE Signal Processing Magazine, 22(2):12-15, 2005.
20. B. Russell, A. Torralba, K. Murphy, and W. Freeman. Labelme: A database and web-based tool for image annotation. International Journal of Computer Vision, 77(1):157-173, 2008.
21. E. Seemann and B. Schiele. Cross-articulation learning for robust detection of pedestrians. In Proc. of DAGM, 2006.
22. H. Sidenbladh. Detecting human motion with support vector machines. In Proc. of ICPR, pages 188-191, 2004.
23. F. Tiburzi, M. Escudero, J. Bescos, and J. M. Martinez. A ground truth for motion-based video-object segmentation. In Proc. of ICIP, pages 17-20, 2008.
24. M. Valera and S. A. Velastin. Intelligent distributed surveillance systems: a review. IEE Proceedings on Visual Image Signal Processing, 152(2):192-204, 2005.
25. R. Vezzani and R. Cucchiara. Annotation collection and online performance evaluation for video surveillance: The visor project. In Proc. of AVSS, pages 227-234, 2008.
26. P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In Proc. of CVPR, volume 1, pages 511-518, 2001.
27. P. Viola, M. J. Jones, and D. Snow. Detecting pedestrians using patterns of motion and appearance. In Proc. of ICCV, volume 2, pages 734-741, 2003.
28. B. Wu and R. Nevatia. Detection of multiple, partially occluded humans in a single image by bayesian combination of edgelet part detectors. In Proc. of ICCV, pages 90-97, 2005.
29. B. Wu and R. Nevatia. Detection and tracking of multiple, partially occluded humans by bayesian combination of edgelet based part detectors. International Journal of Computer Vision, 75(2):247-266, 2007.
30. F. Xu and K. Fujimura. Human detection using depth and gray images. In Proc. of AVSS, pages 115-121, 2003.
31. T. Zhao and R. Nevatia. Tracking multiple humans in complex situations. IEEE Trans. on Pattern Analysis and Machine Intelligence, 26(9):1208-1221, 2004.
32. J. Zhou and J. Hoang. Real time robust human detection and tracking system. In Proc. of CVPR, page 149, 2005.
33. Q. Zhu, M. C. Yeh, K. T. Cheng, and S. Avidan. Fast human detection using a cascade of histograms of oriented gradients. In Proc. of CVPR, 2006.