中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Filter algorithm for visual tracking of maneuvering target

文献类型:会议论文

作者Hou FL(侯菲莉); Zhu F(朱枫)
出版日期2004
会议名称IEEE Position Location and Navigation Symposium
会议日期April 26-29, 2004
会议地点Monterey, CA
页码315-320
中文摘要A filter algorithm is presented in this paper for visual tracking of a maneuvering target. Emphasis is given to find a solution for the degradation in relative position and orientation estimation, which is incurred by the measurement noise in the image coordinates of feature points. Superior to previous approaches that were limited to the assumption that the target motion is slow and smooth, this algorithm is implementable for a maneuvering target that acts in an unknown manner. First, by analyzing the effect of noise in 2-D images on the position and orientation estimation, linear measure equations based on the sequence of motion parameters are given. Then, two filter schemes are introduced respectively. The first filter uses maneuver detection technique, in which optimized detectors for fast and slow maneuver are deduced respectively, and limited memory filtering is adopted to update the filter. The second filter uses numerical differentiation technique, in which a fading factor is adaptively estimated to restrain the divergence caused by truncation errors of estimate model of numerical differentiation. Finally, generalized pseudo Bayes algorithm is employed to combine the two filters for a higher tracking precision. Simulation and experiment results illustrate the capacity of this algorithm.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者IEEE, Aerosp & elect Syst Soc
会议录PLANS 2004: POSITION LOCATION AND NAVIGATION SYMPOSIUM
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号0-7803-8416-4
WOS记录号WOS:000221540400045
源URL[http://ir.sia.cn/handle/173321/7978]  
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
Hou FL,Zhu F. Filter algorithm for visual tracking of maneuvering target[C]. 见:IEEE Position Location and Navigation Symposium. Monterey, CA. April 26-29, 2004.

入库方式: OAI收割

来源:沈阳自动化研究所

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