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ID 115188
タイトル別表記
Human Detection and Tracking Using Hog Feature and Particle Filter
著者
Bhuyain, Mobarok Hossain Tokushima University
キーワード
HOG Feature
Particle Filter
Tracking people
Video Surveillance System
資料タイプ
学術雑誌論文
抄録
Video surveillance system has recently attracted much attention in various fields for monitoring and ensuring security. One of its promising applications is in crowd control to maintain the general security in public places. However, the problem of video surveillance systems is the required continuous manual monitoring especially for crime deterrence. In order to assist the security monitoring the live surveillance systems, intelligent target detection and tracking techniques can send a warning signal to the monitoring officers automatically. Towards this end, in this paper, we propose an innovative method to detect and track a target person in a crowded area using the individual’s features. In the proposed method, to realize automatic detection and tracking we combine Histogram of Oriented Gradient (HOG) feature detection with a particle filter. The HOG feature is applied for the description of contour detection for the person, while the particle filter is used for tracking the targets using skin and clothes color based features. We have developed the evaluation system implementing our proposed method. From the experimental results, we have achieved high accuracy detection rate and tracked the specific target precisely.
掲載誌名
International Journal of Advanced Intelligence
ISSN
18833918
出版者
AIA International Advanced Information Institute
9
3
開始ページ
397
終了ページ
407
発行日
2017-09
EDB ID
フルテキストファイル
言語
eng
著者版フラグ
出版社版
部局
理工学系
技術支援部