Combining edge and color features for tracking partially occluded humans

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5995 LNCS, Issue PART 2, 2010, Pages 140-149

  Dixit, Mandar ^a   Venkatesh, K S ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR FEATURES; DAILY-LIFE SITUATIONS; DATA SETS; EDGE MATCHING; MEAN SHIFT; NON-PARAMETRIC; OBJECT OCCLUSION; PART-BASED TRACKING; PROBABILITY DENSITIES; TEST CASE; TRACKING METHOD;

ALGORITHMS; COLOR; COMPUTER VISION; PROBABILITY DENSITY FUNCTION; STATISTICAL TESTS;

TARGET TRACKING;

EID: 78650493218     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12304-7_14     Document Type: Conference Paper

References (14)

1. Comaniciu, D., Ramesh, V., Meer, P.: Kernel-Based Object Tracking. IEEE Trans. PAMI 25(5) (2003)
2. Elgammal, A.M., Davis, L.S.: Probabilistic Framework for Segmenting People under Occlusion. In: Proc. ICCV (2001)
3. Adam, A., Rivlin, E., Shimshoni, I.: Robust fragments based tracking using the integral histogram. In: CVPR 2006, pp. 798-805 (2006)
4. Wren, C.R., Azarbayejani, A., Darrell, T., Pentland, A.: Pfinder: Real-time tracking of the human body. IEEE Trans. on PAMI 19(7), 780-785 (1997) (Pubitemid 127762271)
5. Collins, R.T.: Mean-shift blob tracking through scale space. In: IEEE CVPR, vol. 2, pp. 234-240 (2003)
6. Stauffer, C., Grimson, W.: Adaptive background mixture models for real-time tracking. In: Proceedings CVPR, pp. 246-252 (1999)
7. Li, L., Huang, W., Gu, I.Y.H., Tian, Q.: Foreground object detection from Videos containing complex background. In: ACM MM 2003 (2003)
8. Beymer, D., McLauchlan, P., Coifman, B., Malik, J.: A real-time computer vision system for measuring traffic parameters. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition, CVPR (1997)
9. Freedman, D., Zhang: Active contours for tracking distributions. IEEE Trans. Image Proc. 13(4), 518-527 (2004)
10. Satake, J., Shakunaga, T.: Multiple target tracking by appearance-based condensation tracker using structure information. In: ICPR (2004)
11. Zivkovic, Z., Krose, B.: An em-like algorithm for color histogram-based object tracking. In: IEEE CVPR (2004)
12. Zhao, T., Nevatia, R.: Tracking multiple humans in crowded environment. In: CVPR, vol. II, pp. 406-413 (2004a)
13. Wu, B., Nevatia, R.: Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors. In: IJCV 2007 (2007)
14. http://sourceforge.net/projects/opencvlibrary/