Learning distribution metric for object contour tracking

2011 International Conference on Multimedia Technology, ICMT 2011

Volumn , Issue , 2011, Pages 3120-3123

  Ma, Bo ^a   Wu, Yuwei ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Active contours; Contour tracking; Distance metric learning; Level set

Indexed keywords

ACTIVE CONTOUR MODEL; ACTIVE CONTOURS; CONTOUR TRACKING; DISTANCE MEASURE; DISTANCE METRIC LEARNING; IMAGE ENERGY; LEVEL SET; MATRIX; OBJECT CONTOUR; ON-THE-FLY; QUADRATIC FORM;

CONTOUR MEASUREMENT; CONVEX OPTIMIZATION; NUMBER THEORY;

PROBABILITY DISTRIBUTIONS;

EID: 80052959531     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMT.2011.6001851     Document Type: Conference Paper

References (14)

1. A. Yilmaz, O. Javed, and M. Shah, "Object tracking: A survey," Acm Computing Surveys (CSUR), vol. 38, no. 4, p. 13, 2006.
2. D. Comaniciu, V. Ramesh, and P. Meer, "Kernel-based object tracking," IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 564-575, 2003.
3. M. Isard and A. Blake, "Condensationlconditional density propagation for visual tracking," International journal of computer vision, vol. 29, no. 1, pp. 5-28, 1998.
4. P. Li, T. Zhang, and B. Ma, "Unscented Kalman filter for visual curve tracking," Image and Vision Computing, vol. 22, no. 2, pp. 157-164, 2004.
5. A. Ess, B. Leibe, K. Schindler, and L. Gool, "Robust multiperson tracking from a mobile platform," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, pp. 1831-1846, 2009.
6. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active contour models," International Journal of Computer Vision, vol. 1, no. 4, pp. 321-331, 1988.
7. Y. Shi and W. C. Karl, "Real-time tracking using level sets," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2005, pp. 34-41.
8. C. Bibby and I. Reid, "Real-time tracking of multiple occluding objects using level sets," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, pp. 1307-1314.
9. Y. Rathi, N. Vaswani, and A. Tannenbaum, "A generic framework for tracking using particle filter with dynamic shape prior," Image Processing, IEEE Transactions on, vol. 16, no. 5, pp. 1370-1382, 2007.
10. D. Freedman and T. Zhang, "Active contours for tracking distributions," Image Processing, IEEE Transactions on, vol. 13, no. 4, pp. 518-526, 2004.
11. E. Xing, A. Ng, M. Jordan, and S. Russell, "Distance metric learning with application to clustering with side-information," in Advances in neural information processing systems, 2003, pp. 521-528.
12. Y. Rubner, C. Tomasi, and L. Guibas, "The earth mover's distance as a metric for image retrieval," International Journal of Computer Vision, vol. 40, no. 2, pp. 99-121, 2000.
13. I. Dryden and K. Mardia, Statistical shape analysis. John Wiley & Sons, 1998, vol. 4.
14. J. Udupa, V. Leblanc, Y. Zhuge, C. Imielinska, H. Schmidt, L. Currie, B. Hirsch, and J. Woodburn, "A framework for evaluating image segmentation algorithms," Computerized Medical Imaging and Graphics, vol. 30, no. 2, pp. 75-87, 2006.