Tracking Deformable Object via Particle Filtering on Manifolds
文献类型:会议论文
作者 | Liu YP(刘云鹏)![]() ![]() ![]() |
出版日期 | 2008 |
会议名称 | Chinese Conference one Pattern Recognition |
会议日期 | December 22-24, 2008 |
会议地点 | Beijing, China |
关键词 | target tracking Sequential Monte Carlo Manifolds Lie Group Gabor feature |
页码 | 164-169 |
中文摘要 | Dynamic deformation of target is a prominent problem in image-based tracking. Most existing particle filtering based tracking algorithms treat deformation parameters of the target as a vector. We have proposed a deformable target tracking algorithm via particle filtering on manifolds, which implements the particle filter with the constraint that the system state lies in a low dimensional manifold: affine lie group. The sequential Bayesian updating consists in drawing state samples while moving on the manifold geodesics; this provides a smooth prior for the state space change. Then we estimate affine deformation parameters through means on lie group. Theoretic analysis and experimental evaluations against the tracking algorithm based on particle filtering on vector spaces demonstrate the promise and effectiveness of this algorithm. |
收录类别 | EI ; CPCI(ISTP) |
产权排序 | 1 |
会议主办者 | Chinese Assoc Automat, Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, CAA, Pattern Recognit & Machine Intelligence Comm, IEEE |
会议录 | PROCEEDINGS OF THE 2008 CHINESE CONFERENCE ON PATTERN RECOGNITION (CCPR 2008)
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会议录出版者 | IEEE |
会议录出版地 | NEW YORK |
语种 | 英语 |
ISBN号 | 978-1-4244-2316-3 |
WOS记录号 | WOS:000264749900031 |
源URL | [http://ir.sia.cn/handle/173321/8029] ![]() |
专题 | 沈阳自动化研究所_光电信息技术研究室 |
推荐引用方式 GB/T 7714 | Liu YP,Li GW,Shi ZL. Tracking Deformable Object via Particle Filtering on Manifolds[C]. 见:Chinese Conference one Pattern Recognition. Beijing, China. December 22-24, 2008. |
入库方式: OAI收割
来源:沈阳自动化研究所
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