標題: An Efficient Probabilistic Occupancy Map-Based People Localization Approach
作者: Lin, Yen-Shuo
Chen, Hua-Tsung
Chuang, Jen-Hui
交大名義發表
資訊工程學系
National Chiao Tung University
Department of Computer Science
關鍵字: People localization;probabilistic occupancy map;video surveillance;multiple cameras;efficient algorithm
公開日期: 1-一月-2015
摘要: The widespread use of vision-based video surveillance systems has inspired many research efforts on people localization. One of the current main trends in this field is based on probabilistic occupancy map (POM) obtained from multiple camera views. Although the POM-based approaches are robust against noisy foregrounds and can achieve great localization accuracy, they require high computation complexity. In this paper, two enhancement schemes are proposed to improve the efficiency of the POM-based people localization: (i) quick screening of potential people locations, and (ii) timely termination of iterations for occupancy probability estimation. Experimental results show that the proposed approach achieves up to 7.25 times speed-up compared to the standard POM-based approach, while delivering comparable people localization accuracy.
URI: http://hdl.handle.net/11536/146483
期刊: 2015 VISUAL COMMUNICATIONS AND IMAGE PROCESSING (VCIP)
顯示於類別:會議論文