Multi-view object tracking using sequential belief propagation
English
Du, Wei[Université de Liège - ULg > Electrical Engineering and Computer Science > INTELSIG >]
Piater, Justus[Université de Liège - ULg > Electrical Engineering and Computer Science > INTELSIG >]
2006
Computer Vision – ACCV 2006
Springer-Verlag Berlin
Lecture Notes in Computer Science 3851
684-693
No
International
978-3-540-31219-2
Berlin
7th Asian Conference on Computer Vision
Hyderabad
India
[en] computer vision ; object tracking in video ; belief propagation
[en] Multiple cameras and collaboration between them make possible the integration of information available from multiple views and reduce the uncertainty due to occlusions. This paper presents a novel method for integrating and tracking multi-view observations using bidirectional belief propagation. The method is based on a fully connected graphical model where target states at different views are represented as different but correlated random variables, and image observations at a given view are only associated with the target states at the same view. The tracking processes at different views collaborate with each other by exchanging information using a message passing scheme, which largely avoids propagating wrong information. An efficient sequential belief propagation algorithm is adopted to perform the collaboration and to infer the multi-view target states. We demonstrate the effectiveness of our method on video-surveillance sequences.
Région wallonne : Direction générale des Technologies, de la Recherche et de l'Energie - DGTRE
[Université de Liège - ULg > Electrical Engineering and Computer Science > INTELSIG >]
