文章基本信息

标题：Robust Multi-person Tracking for Real-Time Intelligent Video Surveillance
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作者：Choi, Jin-Woo ; Moon, Daesung ; Yoo, Jang-Hee 等
期刊名称：ETRI Journal
印刷版ISSN：1225-6463
电子版ISSN：2233-7326
出版年度：2015
卷号：37
期号：3
页码：551-561
DOI：10.4218/etrij.15.0114.0629
语种：English
出版社：Electronics and Telecommunications Research Institute
摘要：We propose a novel multiple-object tracking algorithm for real-time intelligent video surveillance. We adopt particle filtering as our tracking framework. Background modeling and subtraction are used to generate a region of interest. A two-step pedestrian detection is employed to reduce the computation time of the algorithm, and an iterative particle repropagation method is proposed to enhance its tracking accuracy. A matching score for greedy data association is proposed to assign the detection results of the two-step pedestrian detector to trackers. Various experimental results demonstrate that the proposed algorithm tracks multiple objects accurately and precisely in real time.
关键词：Multiple-object tracking;particle filter;background modeling;pedestrian detection;real-time applications;video surveillance applications