Kernel-based 3D tracking

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

Volumn , Issue , 2007, Pages

  Tyagi, Ambrish ^a   Keck, Mark ^a   Davis, James W ^a   Potamianos, Gerasimos ^b  

^a The Ohio State University

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; OBJECT RECOGNITION; THREE DIMENSIONAL;

CAMERA SENSORS; OBJECT TRACKING; OCCLUSION;

COMPUTER VISION;

EID: 34948901473     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383501     Document Type: Conference Paper

References (17)

1. The chil consortium web-site. http://chil.server.de.
2. J. Black and T. J. Ellis. Multi camera image tracking. Image and Vision Comp., 24(11):1256-1267, 2006.
3. R. Collins. Mean-shift blob tracking through scale space. In Proc. Comp. Vis. and Pattern Rec., pages 234-240, 2003.
4. D. Comaniciu and P. Meer. Mean shift: A robust approach toward feature space analysis. IEEE Trans. Patt. Analy. and Mach. Intell., pages 603-619, may 2002.
5. D. Comaniciu, V. Ramesh, and P. Meer. Kernel-based object tracking. IEEE Trans. Patt. Analy. and Mach. Intell., pages 564-577, may 2003.
6. T. Darrell et al. Plan-view trajectory estimation with dense stereo background models. In Proc. Int. Conf. Comp. Vis., pages 628-635, 2001.
7. R. I. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, ISBN: 0521540518, second edition, 2004.
8. M. Isard and J. MacCormick. BraMBLe: A Bayesian multiple-blob tracker. In Proc. Int. Conf. Comp. Vis., pages 34-41, 2001.
9. K. Kim et al. Real-time foreground-background segmentation using codebook model. Real-time Imaging, 11(3):172-185, June 2005.
10. J. Krumm et al. Multi-camera multi-person tracking for EasyLiving. In Proc. Work. Vis. Surveillance, 2000.
11. A. Laurentini. How far 3D shapes can be understood from 2d. silhouettes. IEEE Trans. Patt. Analy. and Mack Intell., 17(2): 188-195, 1995.
12. A. Mittal and L. Davis. M2Tracker: A multi-view approach to segmenting and tracking people in a cluttered scene using region-based stereo. In Proc. European Conf. Comp. Vis., pages 18-36, 2002.
13. M. Pollefeys et al. Visual modeling with a hand-held camera. Int. J. of Comp. Vis., 59(3):207-232, 2004.
14. A. Tyagi, G. Potamianos, J. Davis, and S. Chu. Fusion of multiple camera views for kernel-based 3D tracking. In Proc. Wkshp. Motion and Video Computing, pages 1-1, 2007.
15. A. Yilmaz, O. Javed, and M. Shah. Object tracking: A survey. ACM Comput. Surv., 38(4), 2006.
16. Z. Zhang et al. A joint system for person tracking and face detection. In Proc. IEEE Int. Work. Human Comp. Interaction, Beijing, China, 2005.
17. Q. Zhou and J. K. Aggarwal. Object tracking in an outdoor environment using fusion of features and cameras. Image and Vision Comp., 24(11):1244-1255, 2006.