Region covariance based probabilistic tracking

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn , Issue , 2008, Pages 575-580

  Hu, Hanqing ^a,b   Qin, Jianzhao ^a   Lin, Yaping ^b   Xu, Yangsheng ^a,c  

^a SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^b HUNAN UNIVERSITY   (China)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Particle filter; Region covariance; Visual tracking

Indexed keywords

CHLORINE COMPOUNDS; INDUSTRIAL ENGINEERING; INTELLIGENT CONTROL; PROBABILITY;

COMPLEX ENVIRONMENTS; CONTROL AND AUTOMATION; DESCRIPTOR; LOCAL SEARCH; MULTIPLE FEATURES; OBJECT TRACKING; PARTICLE FILTER; PARTICLE FILTERING; PROBABILISTIC FRAMEWORKS; REGION -OF-INTEREST; REGION COVARIANCE; VISUAL TRACKING; WINDOW SIZES;

PARTICLE BEAM TRACKING;

EID: 52149084329     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2008.4592986     Document Type: Conference Paper

References (14)

1. F. Porikli, O. Tuzel, and P. Meer, "Covariance Tracking using Model Update Based on Lie Algebra," 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp 728-735, 2006.
2. O. Tuzel, F. Porikli, and P. Meer, "Region covariance: A fast descriptor for detection and classification, " in Proc. 9th European Conf. on Computer Vision, Graz, Austria, vol. 2, pp 589-600, 2006.
3. A. Lipton, H. Fujiyoshi, and R. Patil, "Moving target classification and tracking from real-time video," in Proc. of the 1998 DARPA Image Understanding Workshop (IUW'98), pp. 129-136, 1998.
4. I. Haritaoglu, D. Harwood, and L. Davis, "W4: Real-time surveillance of people and their activities," IEEE Trans. Pattern Anal. Machine Intell., vol. 22, no. 8, pp. 809-830, 2000.
5. A. Pentland, "Looking at people: sensing for ubiquitous and wearable computing" IEEE Trans. Pattern Anal. Machine Intell., vol. 22, no. 1, pp. 107-119, 2000.
6. T. Moeslund and E. Granum, "A survey of computer vision-based human motion capture, " Computer Vision and Image Understanding, vol. 81, no. 3, pp. 231- 268, 2001.
7. W. Vieux, K. Schwerdt, and J. Crowley, "Face-tracking and coding for video compression," in Proc. Int. Conf. on Computer Vision Systems, pp. 151-160, Las Palmas, Spain, January 1999.
8. C. Papin, P. Bouthemy, and G. Rochard, "Unsupervised segmentation of low clouds from infrared meteosat images based on a contextual spatiotemporal labeling approach," IEEE Transactions on Geoscience and Remote Sensing, vol. 40, no. 1, pp.104-114, 2002.
9. M. Isard and A. Blake, "CONDENSATION-conditional density propagation for visual tracking," Int. J. Computer Vision, vol. 29, no. 1, pp. 5-28, 1998.
10. J. Liu and R. Chen, "Sequential Monte Carlo methods for dynamic systems," Journal of the American Statistical Association, vol. 93, pp.1032-1044, 1998.
11. Y. Satoh, T. Okantani, and K. Dequchi, "A color-based tracking by Kalman particle filter, " 17th, ICPR, vol.3, pp. 502-505, 2004.
12. P. Pérez, C. Hue, J. Vermaak, and M, Gangnet, "Color-Based Probabilistic Tracking, " Proceedings of the 7th European Conference on Computer Vision-Part I, p.661-675, May 28-31, 2002.
13. J. Shao, R. Chellappa, F. Porikli, "Shape-Regulated Particle Filtering for Tracking Non-Rigid Objects," IEEE International Conference on Image Processing, pp. 2813-2816, 2006.
14. M. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for on-line non-linear/non-gaussian Bayesian tracking, " IEEE Transactions on Signal Processing, vol. 50, no.2, pp. 174-188, 2002.