Probabilistic people tracking with appearance models and occlusion classification: The AD-HOC system

Pattern Recognition Letters

Volumn 32, Issue 6, 2011, Pages 867-877

  Vezzani, Roberto ^a   Grana, Costantino ^a   Cucchiara, Rita ^a  

^a UNIVERSITY OF MODENA AND REGGIO EMILIA   (Italy)

Author keywords

Appearance based tracking; Object tracking; Occlusion; Probabilistic tracking

Indexed keywords

ACTION RECOGNITION; AD HOC SYSTEMS; APPEARANCE BASED; APPEARANCE MODELS; COLOR SIMILARITY; CURRENT FRAME; EVENT DETECTION; HUMAN TRACKING; LARGE OCCLUSION; LEVEL PROCESS; MULTIPLE PEOPLE TRACKING; OBJECT POSITIONS; OBJECT TRACKING; OCCLUSION; PEOPLE TRACKING; PROBABILISTIC TRACKING; SURVEILLANCE VIDEO; TEST SETS; VIDEO-SURVEILLANCE APPLICATIONS; VISIBLE REGION;

PIXELS; SECURITY SYSTEMS;

TARGET TRACKING;

EID: 79952195834     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2010.11.003     Document Type: Article

References (26)

1. A.F. Bobick, and J.W. Davis The recognition of human movement using temporal templates IEEE Trans. Pattern Anal. Machine Intell. 23 3 2001 257 267 (Pubitemid 32286632)
2. Brown, L., Connell, J., Hampapur, A., Lu, M., Senior, A., Shu, C.-F., Tian, Y., 2005. Ibm smart surveillance system (s3): A open and extensible framework for event based surveillance. In: Proc. Internat. Conf. on Advanced Video- and Signal-based Surveillance, 2005, vol. 01. pp. 318-323.
3. D. Comaniciu, V. Ramesh, and P. Meer Kernel-based object tracking IEEE Trans. Pattern Anal. Machine Intell. 25 5 2003 564 575
4. R. Cucchiara, C. Grana, M. Piccardi, and A. Prati Detecting moving objects, ghosts and shadows in video streams IEEE Trans. Pattern Anal. Machine Intell. 25 10 2003 1337 1342
5. R. Cucchiara, C. Grana, A. Prati, and R. Vezzani Probabilistic posture classification for human behaviour analysis IEEE Trans. Systems Man Cybernet. 35 1 2005 42 54 (Pubitemid 40085385)
6. Cucchiara, R., Grana, C., Tardini, G., Vezzani, R., 2004. Probabilistic people tracking for occlusion handling. In: Proc. Internat. Conf. on Pattern Recognition, vol. 01. pp. 132-135.
7. C. Grana, D. Borghesani, and R. Cucchiara Optimized block-based connected components labeling with decision trees IEEE Trans. Image Process. 19 6 2010
8. Greenhill, S., Venkatesh, S., West, G.A.W., 2004. Adaptive model for foreground extraction in adverse lighting conditions. In: PRICAI 2004: Trends in Artificial Intelligence, 8th Pacific Rim International Conference on Artificial Intelligence, pp. 805-811.
9. I. Haritaoglu, D. Harwood, and L. Davis W4: Real-time surveillance of people and their activities IEEE Trans. Pattern Anal. Machine Intell. 22 8 2000 809 830
10. Isard, M., MacCormick, J., 2001. Bramble: A Bayesian multiple-blob tracker. In: Proc. IEEE Internat. Conf. on Computer Vision, pp. 34-41. (Pubitemid 32795038)
11. Javed, O., Shah, M., 2002. Tracking and object classification for automated surveillance. In: Proc. Eur. Conf. on Computer Vision, pp. 343-357.
12. A. Jepson, D. Fleet, and T. El-Maraghi Robust online appearance models for visual tracking IEEE Trans. Pattern Anal. Machine Intell. 25 10 2003 1296 1311
13. O. Lanz Approximate bayesian multibody tracking IEEE Trans. Pattern Anal. Machine Intell. 28 9 2006 1436 1449 (Pubitemid 44132650)
14. Liu, X., Tu, P., Rittscher, J., Perera, A., Krahnstoever, N., 2005. Detecting and counting people in surveillance applications. In: Proc. IEEE Conf. on Advanced Video and Signal Based Surveillance, vol. 1. pp. 306-311.
15. S. McKenna, S. Jabri, Z. Duric, A. Rosenfeld, and H. Wechsler Tracking groups of people Comput. Vision Image Understanding 80 1 2000 42 56
16. PETS, 2000-2007. Pets: Performance evaluation of tracking and surveillance. Website, .
17. D. Ramanan, D.A. Forsyth, and A. Zisserman Tracking people by learning their appearance IEEE Trans. Pattern Anal. Machine Intell. 29 1 2007 65 81 (Pubitemid 46415946)
18. A. Senior, A. Hampapur, Y.-L. Tian, L. Brown, S. Pankanti, and R. Bolle Appearance models for occlusion handling Image Vision Comput. 24 11 2006 1233 1243 (Pubitemid 44485267)
19. C. Stauffer, and W. Grimson Learning patterns of activity using real-time tracking IEEE Trans. Pattern Anal. Machine Intell. 22 8 2000 747 757
20. Thome, N., Miguet, S., 2005. A robust appearance model for tracking human motions. In: Proc. IEEE Conf. on Advanced Video and Signal Based Surveillance, vol. 1. pp. 528-533.
21. Vezzani, R., Cucchiara, R., 2008a. Ad-hoc: Appearance driven human tracking with occlusion handling. In: First Internat. Workshop on Tracking Humans for the Evaluation of their Motion in Image Sequences (THEMIS'2008). Leeds, UK, pp. 9-18.
22. Vezzani, R., Cucchiara, R., 2008b. Visor: Video surveillance on-line repository for annotation retrieval. In: Proc. IEEE Internat. Conf. on Multimedia and Expo (IEEE ICME 2008), Hannover. URL .
23. Wu, B., Nevatia, R., 2006. Tracking of multiple, partially occluded humans based on static body part detection. In: Proc. IEEE Interant. Conf. on Computer Vision and Pattern Recognition, vol. 1. pp. 951-958. (Pubitemid 44931425)
24. Wu, Y., Yu, T., Hua, G., 2003. Tracking appearances with occlusions. In: Proc. IEEE Internat. Conf. on Computer Vision and Pattern Recognition, vol. 01. p. 789.
25. A. Yilmaz, X. Li, and M. Shah Contour-based object tracking with occlusion handling in video acquired using mobile cameras IEEE Trans. Pattern Anal. Machine Intell. 26 11 2004 1531 1536 (Pubitemid 40168029)
26. T. Zhao, and R. Nevatia Tracking multiple humans in complex situations IEEE Trans. Pattern Anal. Machine Intell. 26 9 2004 1208 1221