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Proceedings Paper

An target tracking of structure algorithm based on skeleton and corner for extended objects
Author(s): Bo Zhai; Tian-bing He; You-shan Qu; Fan Xu; Yong-jiao Ge
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Paper 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 un-occluded and un-blurred 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 determine 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.

Paper Details

Date Published:
PDF: 6 pages
Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046225; doi: 10.1117/12.2284381
Show Author Affiliations
Bo Zhai, Xi'an Institute of Optics and Precision Mechanics, CAS (China)
Tian-bing He, Xi'an Institute of Optics and Precision Mechanics, CAS (China)
You-shan Qu, Xi'an Institute of Optics and Precision Mechanics, CAS (China)
Fan Xu, Xi'an Institute of Optics and Precision Mechanics, CAS (China)
Yong-jiao Ge, Xi'an Institute of Optics and Precision Mechanics, CAS (China)


Published in SPIE Proceedings Vol. 10462:
AOPC 2017: Optical Sensing and Imaging Technology and Applications
Yadong Jiang; Haimei Gong; Weibiao Chen; Jin Li, Editor(s)

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