Adaptive Particle Filter for Data Fusion of Multiple Cameras |
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Authors: | Ya-Dong Wang Jian-Kang Wu and Ashraf A Kassim |
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Affiliation: | (1) Institute for Infocomm Research, 21 Heng Mui Keng Terrace, 119613 Singapore, Singapore;(2) Department of Electrical and Computer Engineering, National University of Singapore, 119260 Singapore, Singapore |
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Abstract: | Occlusion is a difficult problem for visual tracking and we use multiple wide baseline cameras to deal with occlusion. We
propose a data fusion approach for visual tracking using multiple cameras with overlapping fields of view. First, we present
a spatial and temporal recursive Bayesian filter to fuse information from multiple cameras. An adaptive particle filter is
formulated to realize the spatial and temporal recursive Bayesian filter. Our algorithm is able to recover the target’s position
even under complete occlusion in a camera.
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Keywords: | visual tracking Bayesian filter occlusion particle filter |
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