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- W1581805352 abstract "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." @default.
- W1581805352 created "2016-06-24" @default.
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- W1581805352 date "2006-01-01" @default.
- W1581805352 modified "2023-10-14" @default.
- W1581805352 title "Multi-view Object Tracking Using Sequential Belief Propagation" @default.
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- W1581805352 doi "https://doi.org/10.1007/11612032_69" @default.
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