Tracking pedestrians with incremental learned intensity and contour templates for PTZ camera visual surveillance

Proceedings - IEEE International Conference on Multimedia and Expo

Volumn , Issue , 2011, Pages

  Xie, Yi ^a   Pei, Mingtao ^a   Yu, Guanqun ^a   Song, Xi ^a   Jia, Yunde ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

intensity and contour template; pedestrian tracking; PTZ visual surveillance

Indexed keywords

CUTTING EDGES; INTENSITY AND CONTOUR TEMPLATE; INTENSITY-BASED; MOVING-OBJECT DETECTION; PEDESTRIAN TRACKING; PTZ CAMERA; SUDDEN CHANGE; TARGET LOCATION; TRACKING ALGORITHM; VISUAL SURVEILLANCE;

CAMERAS; CONTOUR MEASUREMENT; EVOLUTIONARY ALGORITHMS; MONITORING; SECURITY SYSTEMS;

TARGET TRACKING;

EID: 80155182031     PISSN: 19457871     EISSN: 1945788X     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2011.6012040     Document Type: Conference Paper

References (15)

1. Bruce D. Lucas and Takeo Kanade, "An iterative image registration technique with an application to stereo vision," IJCAI, pp. 121-130, 1981.
2. Jianbo Shi and Carlo Tomasi, "Good features to track," TR 93-1399, Cornell U., 1993.
3. G. Hager and P. Belhumeur, "Real-time tracking of image regions with changes in geometry and illumination," CVPR, 1996.
4. T. Yu and Y. Wu, "Differential tracking based on spatial-appearance model(sam)," CVPR, 2006.
5. Michael Isard and Andrew Blake, "Condensation - conditional density propagation for visual tracking," IJCV, 1998.
6. K. Numiaro and E. Koller-Meier, "An adaptive color-based particle filter," ICV, 2003.
7. D. A. Ross and J. Lim, "Incremental learning for robust visual tracking," CVPR, 2005.
8. T. F. Cootes and C. J. Taylor, "Statistical models of appearance for computer vision," Manchester U., 2004.
9. A. Levy and M. Lindenbaum, "Sequential karhunen-loeve basis extraction and its application to image," IEEE Transaction on Image Processing, 2000.
10. Yilu Zhang and Juyang Weng, "Convergence analysis of complementary candid incremental principal component analysis," MSU-CSE-01-23, Michigan State U., 2001.
11. J. Kwon and K. M. Lee, "Visual tracking via geometric particle filtering on the affine group with optimal importance functions," CVPR, 2009.
12. Michael Isard and Andrew Blake, "Icondensation: Unifying low-level and high-level tracking in a stochastic framework," ECCV, 1998.
13. Paul Viola, Michael J. Jones, and Daniel Snow, "Detecting pedestrians using patterns of motion and appearance," ICCV, 2003.
14. Tianfu Wu and Song-Chun Zhu, "A numerical study of the bottom-up and top-down inference processes in and-or graphs," IJCV, 2010.
15. P. C. Mahalanobis, "On the generalised distance in statistics," Proceedings of the National Institute of Sciences of India, pp. 49-55, 1936.