文章基本信息

标题：New Video Target Tracking Algorithm Based on KNN
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作者：Ma, Ding ; Yu, Zhezhou
期刊名称：Journal of Multimedia
印刷版ISSN：1796-2048
出版年度：2014
卷号：9
期号：5
页码：709-714
DOI：10.4304/jmm.9.5.709-714
语种：English
出版社：Academy Publisher
摘要：Compressed sensing is an advanced technique used in visual tracking problem. However, current research uses too many pre-knowledge, and cannot deal with quick object sensitively. Based on the problems, the paper proposes a new real-time visual tracking algorithm based on compressive sensing. On one hand, the algorithm uses the characteristics of compressive sensing, and make sure of the time constraint of the tracking. On the other hand, KNN classifier is used to differentiate the target and the background. Results show that the algorithm can provide the accuracy of the real-time tracking.
关键词：Video;Target Tracking;KNN