标题:Target tracking algorithm based on multi-subblock feature matching
作者:Chang, Faliang ;Dong, Wenhui ;Ma, Li
作者机构:[Chang, Faliang ;Dong, Wenhui ;Ma, Li ] School of Control Science and Engineering, Shandong University, Jinan, China
通讯作者:Chang, F
来源:Advances in Intelligent Systems and Computing
出版年:2014
卷:215
页码:139-152
DOI:10.1007/978-3-642-37835-5_13
关键词:Computer vision; Feature matching; Image blocking; Pattern recognition; Target tracking
摘要:Real-time target tracking is an important subject in modern intelligent surveillance and security defense systems. However, due to the natural scene's complexity and variability, the tracking becomes complex and difficult especially when the target is occluded in complex background. This paper proposes a tracking algorithm of moving target based on adaptive blocking and feature correlation matching. We compute target's grayscale first, and judge the target's grayscale attribute. Then according to it, we choose a more suitable algorithm to track moving target from edge correlation matching algorithm and grayscale correlation matching algorithm based on multi-subblock. To edge matching algorithm, target's displacement in two successive frames is determined by optimal matching of current unoccluded edge with real-time updated target template. For grayscale correlation matching based on multi-subblocks, the algorithm first estimates occluded region accurately by subblocks with distinct feature, and then tracks the target by residual unoccluded subblocks to participate in grayscale correlation matching. The experimental results of our tracking system show that the algorithm is effective for tracking moving targets. © Springer-Verlag Berlin Heidelberg 2014.
收录类别:EI;SCOPUS
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84885086022&doi=10.1007%2f978-3-642-37835-5_13&partnerID=40&md5=b773c00d892d604ff0d822dd6020fbd9
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