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Determining the feasible set of motion states in target tracking using extended set-membership filter
Qiu Q(邱权); Zheng WG(郑文刚); Han JD(韩建达)
Department机器人学研究室
Conference Name10th World Congress on Intelligent Control and Automation, WCICA 2012
Conference DateJuly 6-8, 2012
Conference PlaceBeijing, China
Author of SourceAcademy of Mathematics and Systems Science; IEEE Robotics and Automation Society; IEEE Control Systems Society; National Natural Science Foundation of China; Chinese Association of Automation
Source PublicationWCICA 2012 - Proceedings of the 12th World Congress on Intelligent Control and Automation
PublisherIEEE
Publication PlacePiscataway, NJ, United States
2012
Pages3876-3880
Indexed ByEI ; CPCI(ISTP)
EI Accession number20130415919685
WOS IDWOS:000395422503172
Contribution Rank2
ISBN978-1-4673-1398-8
KeywordIntelligent Control Object Recognition
AbstractThis 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.
Language英语
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Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/10488
Collection机器人学研究室
Affiliation1.Department of Agriculture Automation, Beijing Research Center of Intelligent Equipment for Agriculture, Beijing, 100097, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, 110016, Liaoning Province, China
Recommended Citation
GB/T 7714
Qiu Q,Zheng WG,Han JD. Determining the feasible set of motion states in target tracking using extended set-membership filter[C]//Academy of Mathematics and Systems Science; IEEE Robotics and Automation Society; IEEE Control Systems Society; National Natural Science Foundation of China; Chinese Association of Automation. Piscataway, NJ, United States:IEEE,2012:3876-3880.
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