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Proceedings Paper

Automatic event detection of abandoned and stolen objects in real-time surveillance
Author(s): Weihua Wang; Zhijing Liu
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Paper Abstract

This paper describes an approach aimed at automatic identification of events of abandoned and stolen objects in variety environment. Our approach mainly include three steps of data processing: the first processing phrase is object extraction, involving a dual-time background subtraction algorithm which dynamically updates two sets of background. Then, extracted objects are classified as static or dynamic objects and human or non-human objects. Finally, a decision-making model is employed to calculate a confidence score for the classification about event, and an alarm will be automatically triggered if the certainty of action is higher than a pre-defined threshold. Also, the robustness and efficiency of the method was tested on our real time video surveillance system and evaluated by public database such as AVSS 2007 datasets.

Paper Details

Date Published: 20 August 2010
PDF: 7 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78202O (20 August 2010); doi: 10.1117/12.867039
Show Author Affiliations
Weihua Wang, Xidian Univ. (China)
Zhijing Liu, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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