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An target tracking of structure algorithm based on skeleton and corner for extended objects
Zhai, Bo; He, Tian-Bing; Qu, You-Shan; Xu, Fan; Ge, Yong-Jiao
2017
Conference NameApplied Optics and Photonics China: Optical Sensing and Imaging Technology and Applications, AOPC 2017
Source PublicationAOPC 2017: Optical Sensing and Imaging Technology and Applications
Volume10462
Conference Date2017-06-04
Conference PlaceBeijing, China
PublisherSPIE
Contribution Rank1
Abstract

Due to extended objects are influenced by occluded and blurred edge, the stability of target tracking is not good by the figure algorithms or the corner algorithms. In order to solute this problem, an improved multi-resolution(MR) fuzzy clustering algorithm based on Markov random field(MRF) is firstly used to segment the candidate targets of the extended objects from the observed images, then a new proposed target tracking structure algorithm, based on the stabilization of the extended objects' skeletons and the partially unoccluded and unblurred edge feature of the extended objects, is applied to extract the skeletons, corners, intersection points and their spatial location relationship of the candidate extended targets to detemine the true tracking target or not. The experimental results show that the established algorithm can effectively complete the segmentation and extraction of the partially occluded and blurred extended objects with a very satisfied reliability and robustness. © 2017 SPIE.

Department空间光学应用研究室
DOI10.1117/12.2284381
Indexed ByEI ; ISTP
ISBN9781510614055
Language英语
ISSN0277786X
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/29899
Collection空间光学应用研究室
AffiliationXi'an Institute of Optics and Precision Mechanics, Chinses Academy of Sciences, Xi'an, 710119, China
Recommended Citation
GB/T 7714
Zhai, Bo,He, Tian-Bing,Qu, You-Shan,et al. An target tracking of structure algorithm based on skeleton and corner for extended objects[C]:SPIE,2017.
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