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Moving Target Detection and Tracking Based on Pyramid Lucas-Kanade Optical Flow
Wang, Zhen1,2; Yang, Xiaojun1
2018
Conference Name3rd IEEE International Conference on Image, Vision and Computing (ICIVC)
Source Publication2018 IEEE 3RD INTERNATIONAL CONFERENCE ON IMAGE, VISION AND COMPUTING (ICIVC)
Pages66-69
Conference Date2018-06-27
Conference PlaceChongqing, PEOPLES R CHINA
PublisherIEEE
Contribution Rank1
Abstract

In order to enable the optical flow to track larger and faster moving targets, pyramid Lucas-Kanade optical flow method is used to detect and track moving targets. First, detecting the corners which is easy to track, in order to improve the tracking accuracy, detected corners and then calculate the sub-pixel corner, and then the video in each frame of the image layered in the image pyramid to calculate the optical flow at the top corner, use the next pyramid as the starting point of the pyramid and repeat this process until the bottom pyramid image, which can overcome the Lucas-Kanade optical flow method cannot track faster and larger movements the shortcomings, to achieve the tracking of moving goals.

Department光电测量技术实验室
Indexed ByEI ; CPCI
ISBN978-1-5386-4991-6
Language英语
WOS IDWOS:000448170000014
EI Accession Number20184706086039
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30705
Collection光电测量技术实验室
Corresponding AuthorWang, Zhen
Affiliation1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Wang, Zhen,Yang, Xiaojun. Moving Target Detection and Tracking Based on Pyramid Lucas-Kanade Optical Flow[C]:IEEE,2018:66-69.
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