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Multi-view object tracking using sequential belief propagation
Du, Wei; Piater, Justus
2006In Computer Vision – ACCV 2006
Peer reviewed
 

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Keywords :
computer vision; object tracking in video; belief propagation
Abstract :
[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.
Disciplines :
Computer science
Author, co-author :
Du, Wei ;  Université de Liège - ULiège > Electrical Engineering and Computer Science > INTELSIG
Piater, Justus ;  Université de Liège - ULiège > Electrical Engineering and Computer Science > INTELSIG
Language :
English
Title :
Multi-view object tracking using sequential belief propagation
Publication date :
2006
Event name :
7th Asian Conference on Computer Vision
Event place :
Hyderabad, India
Audience :
International
Main work title :
Computer Vision – ACCV 2006
Publisher :
Springer-Verlag Berlin, Berlin, Germany
ISBN/EAN :
978-3-540-31219-2
Collection name :
Lecture Notes in Computer Science 3851
Pages :
684-693
Peer reviewed :
Peer reviewed
Name of the research project :
TRICTRAC
Funders :
DGTRE - Région wallonne. Direction générale des Technologies, de la Recherche et de l'Énergie [BE]
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