Multiple object tracking using HSV color space

ACM International Conference Proceeding Series

Volumn , Issue , 2011, Pages 247-252

  Saravanakumar, S ^a   Vadivel, A ^a   Ahmed, C G Saneem ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Enlarge boundary technique; Failuredetection and recovery; HSV color space; Multiple object tracking; True gray pixel

Indexed keywords

ENLARGE BOUNDARY TECHNIQUE; FAILUREDETECTION AND RECOVERY; HSV COLOR SPACE; MULTIPLE OBJECT TRACKING; TRUE/GRAY PIXEL;

COLOR; COMPUTER VISION; PIXELS; RECOVERY;

TARGET TRACKING;

EID: 79952953280     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1947940.1947993     Document Type: Conference Paper

References (12)

1. J.P. MacCormick and A. Blake, "A probabilistic exclusion principle for tracking multiple objects," in ICCV99, 1999, pp. 572-578. (Pubitemid 32080092)
2. H. Tao, H.S. Sawhney, and R. Kumar, "A sampling algorithm for tracking multiple objects," in Vision Algorithms 99, 1999.
3. M. Isard and J.P. MacCormick, "Bramble: A bayesian multiple-blob tracker," in ICCV01, 2001, pp. II: 34-41.
4. C. Hue, J.P. Le Cadre, and P. Perez, "Tracking multiple objects with particle -ltering," IEEE Trans. on Aerospace and Electronic Systems, vol. 38, no. 3, pp. 791-812, July 2002. (Pubitemid 35377497)
5. D.B. Reid, "An algorithm for tracking multiple targets," AC, vol. 24, no. 6, pp. 843-854, December 1979.
6. T.E. Fortmann, Y. Bar-Shalom, and M. Sche-e, "Sonar tracking of multiple targets using joint probabilistic data association," IEEE Journal Oceanic Eng., vol. OE-8, pp. 173-184, July 1983. (Pubitemid 13571120)
7. R.L. Streit and T.E. Luginbuhl, "Maximum likelihood method for probabilistic multi-hypothesis tracking," in Proceedings of SPIE International Symposium, Signal and Data Processing of Small Targets, 1994.
8. H. Gauvrit and J.P. Le Cadre, "A formulation of multitarget tracking as an incomplete data problem," IEEE Trans. on Aerospace and Electronic Systems, vol. 33, no. 4, pp. 1242- 1257, Oct 1997. (Pubitemid 127826293)
9. A. Vadivel, M. Mohan, Sural Shamik, A.K. Majumdar, "Object Level Frame Comparison for Video Shot Detection", IEEE Workshop on Motion Video Computing (WACV/MOTIONS'05), vol. 2, pp. 235 - 240, 2005.
10. C. Hua, H. Wu, Q. Chen and T. Wada, "K- means Tracker: A General Algorithm for Tracking People", Journal of Multimedia, Vol.1, No. 4, 2006.
11. Video Dataset: http://www.cvg.rdg.ac.uk/PETS2009/a.html.
12. Shiuh-Ku Weng, Chung Ming Kuo and Shu-Kang Tu, "Video object tracking using adaptive Kalman filter", Journal of Visual Communication and Image Representation, Volume 17, Issue 6, pp.1190-1208, 2006. (Pubitemid 44872951)