Trajectory association across non-overlapping moving cameras in planar scenes

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

Volumn , Issue , 2007, Pages

  Sheikh, Yaser ^a   Xin, Li ^b   Shah, Mubarak ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CAMERAS; COMPUTER SIMULATION; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; MOTION ESTIMATION; OPTIMIZATION;

MOVING CAMERAS; OBJECT ASSOCIATION; PLANAR SCENES; TRAJECTORY ASSOCIATION;

OBJECT RECOGNITION;

EID: 34948816668     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383182     Document Type: Conference Paper

References (18)

1. J. Bilmes. A gentle tutorial on the em algorithm and its application to parameter estimation for gaussian mixture and hidden markov models, In Technical Report, University of Berkeley, 1997.
2. R. Collins, A. Lipton, H. Fujiyoshi, and T. Kanade, Algorithms for cooperative multisensor surveillance. In Proceedings of the IEEE, 2001
3. Y. B.-S. (Editor). Multitarget-Multisensor Tracking: Advanced Applications. Artech House, 1990.
4. R. Fisher, Self-organization of randomly placed sensors. In Proceedings of the European Conference on Computer Vision, 2002.
5. A. Filzgibbon and R. Fischer, A buyer's guide to conic fitting. In British Machine Vision Conference, 1995.
6. R. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, September 2000.
7. O. .laved, K. Shafique, and M. Shah. Appearance modeling for tracking in multiple non-overlapping cameras. In IEEE International Conference on Computer Vision and Pattern Recognition, 2005.
8. J. Kaminski and A. Shashua. Multiple view geometry of general algebraic curves, In International Journal of Computer Vision, 2004.
9. S. Kang and K. Ikeuchi. Toward automatic robot instruction from perception - mapping human grasps to manipulator grasps. In IEEE Trans. on Robotics and Automation, volume 12, Dec, 1996.
10. V. Kettnaker and R. Zabih. Bayesian multi-camera surveillance, In IEEE Conference on Computer Vision and Pattern Recognition, 1999.
11. D. Makris, T. Ellis, and J. Black. Bridging the gaps between cameras. In IEEE Conference on Computer Vision ana Pattern Recognition, 2004
12. T. Matsuyama and N. Ukita. Real-time multitarget tracking by a cooperative distributed vision system. In Proceedings of the IEEE, 2002.
13. A. Rahimi, B. Dunagan, and T. Darrell, Simultaneous calibration and tracking with a network of non-overlapping sensors, In IEEE Conference on Computer Vision and Pattern Recognition, 2004.
14. Y. Shan, H. Sawhney, and R. Kumar. Unsupervised learning of discriminative edge measures for vehicle matching between non-overlapping cameras. In Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, 2005.
15. Y. Sheikh and M. Shah. Object tracking across multiple independently moving airborne cameras. In Proceedings of the IEEE International Conference on Computer Vision, 2005.
16. C. Stauffer and K. Tieu. Automated multi-camera planar tracking correspondence modelling. In IEEE Conference on Computer Vision and Pattern Recognition, 2003.
17. P. Sturm. Vision 3d non calibrée - contributions à la reconstruction projective et étude des mouvements critiques pour l'auto-calibrage. InPW) Thesis, 1997.
18. K. Heu, G. Dalley, and E. Grimson. Inference of nonoverlapping camera network topology by measuring statistical dependence. In Proceedings of the IEEE International Conference on Computer Vision, 2005.