DocumentCode
3050695
Title
Bayesian multi-camera surveillance
Author
Kettnaker, Vera ; Zabih, Ramin
Author_Institution
Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA
Volume
2
fYear
1999
fDate
1999
Abstract
The task of multicamera surveillance is to reconstruct the paths taken by all moving objects that are temporally visible from multiple non-overlapping cameras. We present a Bayesian formalization of this task, where the optimal solution is the set of object paths with the highest posterior probability given the observed data. We show how to efficiently approximate the maximum a posteriori solution by linear programming and present initial experimental results
Keywords
Bayes methods; motion estimation; surveillance; Bayesian formalization; linear programming; moving objects; multi-camera surveillance; reconstruct; Bayesian methods; Cameras; Computer science; Monitoring; Road transportation; Statistics; Streaming media; Surveillance; Topology; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.
Conference_Location
Fort Collins, CO
ISSN
1063-6919
Print_ISBN
0-7695-0149-4
Type
conf
DOI
10.1109/CVPR.1999.784638
Filename
784638
Link To Document