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Determining the Feasible Set of Motion States in Target Tracking Using Extended Set-Membership Filter

文献类型: 外文期刊

作者: Qiu, Quan 1 ; Zheng, Wengang 1 ; Han, Jianda 2 ;

作者机构: 1.Beijing Res Ctr Intelligent Equipment Agr, Dept Agr Automat, Beijing 100097, Peoples R China

2.Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang 110016, Liaoning Provin, Peoples R China

关键词: Target Tracking;Extended Set-Membership Filter;Feasible Set

期刊名称:PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012)

ISSN:

年卷期: 2012 年

页码:

收录情况: SCI

摘要: This paper presents a new object recognition strategy for target tracking using extended set-membership filter (ESMF). Before the target recognition algorithms are applied on the sensory information, ESMF is employed to determine the demarcation of a guaranteed searching area in which the true position of the target can be certainly found. Then the target recognition algorithms will work in a smaller region rather than searching in the whole range of the sensory information. The new strategy can improve the speed and accuracy of the target recognition algorithms. Experiments are conducted to prove the feasibility of the strategy.

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