Title :
Bayesian multi-camera surveillance
Author :
Kettnaker, Vera ; Zabih, Ramin
Author_Institution :
Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.
Conference_Location :
Fort Collins, CO
Print_ISBN :
0-7695-0149-4
DOI :
10.1109/CVPR.1999.784638
