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3D particle tracking using an active vision
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DOI：10.1016/S0167-8655(02)00304-5.png)
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This paper concerns the 3D motion estimation and tracking of an object in a scene using an active vision system. We develop a state model which describes in an unified way this estimation problem. In this case, the main difficulty lies in the non-linear state equations. They are solved by the particle filter which avoids the linearization stage. (C) 2002 Elsevier Science B.V. All rights reserved.
Keyword:
sensor fusion
non-linear filtering
motion analysis
3D tracking
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3.3
论文数:
8.0K
被引数:
1.6W
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