Thermal-visible video fusion for moving target tracking and pedestrian classification

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2007, Pages

  Leykin, Alex ^a   Ran, Yang ^b   Hammoud, Riad ^c  

^a INDIANA UNIVERSITY   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

^c DELPHI CORPORATION   (United States)

Author keywords

Fusion of color and thermal imagery; Human tracking; Thermal imagery

Indexed keywords

CAMERAS; GAIT ANALYSIS; INFRARED IMAGING; MATHEMATICAL MODELS; OPTIMIZATION; PROBABILITY; TARGET TRACKING;

HUMAN TRACKING; PEDESTRIAN CLASSIFICATION; THERMAL CAMERAS;

IMAGE FUSION;

EID: 34948853227     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383444     Document Type: Conference Paper

References (34)

1. E. H. Adelson and J. R. Bergen. Spatiotemporal energy models for the perception of motion. J. of the Optical Society of America A, 2(2):284-299, 1985.
2. B. Bhanu and J. Han. Kinematic-based human motion analysis in infrared sequences. In IEEE WS. on Applications of Computer Vision, pages 208-212, 2002.
3. R. Collins, A. Lipton, and T. Kanade. Introduction to the special, section on video surveillance. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(8):745-746, 2000.
4. R. Collins, A. Lipton, T. Kanade, H. Fujiyoshi, D. Duggins, Y. Tsin, D. Tolliver, N. Enomoto, O. Hasegawa, P. Burt, and L. Wixson. A system for video surveillance and monitoring. Technical Report CMU-RI-TR-00-12, Carnegie Mellon University, Pittsburgh, PA, May 2000.
5. C. Dai, Y. Zheng, and X. Li. Layered representation for pedestrian detection and tracking in infrared imagery. In IEEE CVPR WS on OTCBVS, 2005.
6. J. Davis and V. Sharma. Fusion-based background-subtraction using contour saliency. In IEEE International Workshop on Object Tracking and Classification Beyond the Visible Spectrum, IEEE OTCBVS WS Series Bench, 2005.
7. J. W. Davis and V. Sharma. Fusion-based background-subtraction using contour saliency. In IEEE CVPR WS on Object Tracking and Classification Beyond the Visible Spectrum, pages 19-26, 2005.
8. J. Deutscher, B. North, B. Bascle, and A. b. Blake. Tracking through singularities and discontinuities by random sampling. In International Conference on Computer Vision, 1999.
9. A. Doucet, N. de Freitas, and N. Gordon. Sequential Monte Carlo Methods in Practice. Springer-Verlag, 2001.
10. A. Elgammal and L. Davis. Probabilistic framework for segmenting people under occlusion. In International Conference on Computer Vision, 2001.
11. D. Gavrila. The visual analysis of human movement: A survey. Computer Vision and Image understanding, 73(1):82-98, 1999.
12. I. Haritaoglu and M. Flickner. Detection and tracking of shopping groups in stores. In International Conference on Computer Vision and Pattern Recognition, 2001.
13. I. Haritaoglu, D. Harwood, and L. Davis. W-4: Real-time surveillance of people and their activities. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8):809-830, 2000.
14. L. Havasi and T. Sziranyi. Motion tracking through grouped transient feature points. In Advanced Concepts for Intelligent Vision Systems, 2004.
15. M. Isard and J. MacCormick. Bramble: A bayesian multipleblob tracker. In International Conference on Computer Vision, 2001.
16. C. Kemp and T. Drummond. Multi-modal tracking using texture changes. In British Machine Vision Conference, 2004.
17. A. Leykin and R. Hammoud. Robust multi-pedestrian tracking in thermal-visible surveillance videos. cvprw, 0:136, 2006.
18. A. Leykin and M. Tuceryan. A vision system for automated customer tracking for marketing analysis: Low level feature extraction. In Human Activity Recognition and Modelling Workshop, 2005.
19. J. Little and J. Boyd. Recognizing people by their gait: the shape of motion. Journal of Computer Vision Research, 1(2), 1998.
20. F. Liu and R. W. Picard. Finding periodicity in space and time. In ICCV '98: Proceedings of the Sixth International Conference on Computer Vision, page 376, Washington, DC, USA, 1998. IEEE Computer Society.
21. S. Maybank and T. Tan. Introduction to special section on visual surveillance. International Journal of Computer Vision, 37(2): 173-173, 2000.
22. A. Mittal and L. Davis. M2tracker: A multi-view approach to segmenting and tracking people in a cluttered scene using region-based stereo. In European Conference on Computer Vision, 2002.
23. D. Morris and J. Rehg. Singularity analysis for articulated object tracking. In International Conference on Computer Vision and Pattern Recognition, 1998.
24. H. Nanda and L. Davis. Probabilistic template based pedestrian detection in infrared videos. In IEEE Intell. Vehicles Symp., 2002.
25. S. Niyogi and E. Adelson. Analyzing and recognizing walking figures in xyt. In IEEE Conf. on Computer Vision and Pattern Recognition, pages 469-474, 1994.
26. N. Oliver, B. Rosario, and A. Pentland. A bayesian computer vision system for modeling human interactions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8):831-843, 2000.
27. Y. Owechko, S. Medasani, and N. Srinivasa. Classifier swarms for human detection in infrared imagery. In IEEE CVPR WS on Object Tracking and Classification Beyond the Visible Spectrum, 2004.
28. Y. Ran, I. Weiss, Q. Zheng, and L. S. Davis. Pedestrian detection via periodic motion analysis. Int. J. Comput. Vision, 71(2):143-160, 2007.
29. Y. Ran, Q. Zheng, I. Weiss, and L. S. D. et al. Pedestrian classifcation from moving platforms using cyclic motion pattern. In International Conference of Image Processing, 2005.
30. C. Sminchisescu and B. Triggs. Kinematic jump processes for monocular 3d human tracking. In International Conference on Computer Vision and Pattern Recognition, 2003.
31. L. Wang, W. Hu, and T. Tan. Recent developments in human motion analysis. In IEEE International Conference on Pattern Recognition, pages 585-601, 2003.
32. F. Xu and K. Fujimura. Pedestrian detection and tracking with night vision. In IEEE Intell. Vehicles Symp., 2002.
33. M. Yasuno, N. Yasuda, and M. Aoki. Pedestrian detection and tracking in far infrared images. In IEEE CVPR WS on Object Tracking and Classification Beyond the Visible Spectrum, 2004.
34. T. Zhao and R. Nevatia. Tracking multiple humans in crowded environment. In International Conference on Computer Vision and Pattern Recognition, 2004.