Learning to track objects through unobserved regions

Proceedings - IEEE Workshop on Motion and Video Computing, MOTION 2005

Volumn , Issue , 2005, Pages 96-102

  Stauffer, Chris ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CAMERAS; DATA REDUCTION; GROUND VEHICLES; TRACKING (POSITION); TRAFFIC SIGNS;

SYNTHETIC DATA; TRACKING SYSTEMS; UNOBSERVED REGIONS;

OBJECT RECOGNITION;

EID: 35348879686     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACVMOT.2005.69     Document Type: Conference Paper

References (7)

1. Omar Javed, Zeeshan Rasheed, Khurram Shafique, and Mubarak Shah. Tracking in multiple cameras with disjoint views. In The Ninth IEEE International Conference on Computer Vision (ICCV), Nice, France, Oct. 13-16 2003.
2. V. Kettnaker and R. Zabih. Bayesean multi-camera surveillance. In Computer Vision and Pattern Recognition (CVPR 1999), pages 253-259, Fort Collins, Colorado USA, June 23-25 1999.
3. Dimitrios Makris and Tim Ellis. Finding paths in video sequences. In British Machine Vision Conference, volume 1, pages 253-272, Manchester, UK, September 10-13 2001.
4. Hanna Pasula, Stuart J. Russell, Michael Ostland, and Yaacov Ritov. Tracking many objects with many sensors. In IJCAI99, pages 1160-1171, 1999.
5. Chris Stauffer. Estimating tracking sources and sinks. In Proc. Event Mining Workshop, Madison, WI, July 2003. IEEE Press.
6. Chris Stauffer and W. E. L. Grimson. Adaptive background mixture models for real-time tracking. In Computer Vision and Pattern Recognition, pages 246-252, 1999.
7. Chris Stauffer and Kinh Tieu. Automated, multi-camera planar tracking correspondence modeling. In IEEE Proc. Computer Vision and Pattern Recognition, volume I, pages 259-266, Madison, WI, July 2003.