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20 August 2010 Automatic event detection of abandoned and stolen objects in real-time surveillance
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Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78202O (2010) https://doi.org/10.1117/12.867039
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Weihua Wang and Zhijing Liu "Automatic event detection of abandoned and stolen objects in real-time surveillance", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78202O (20 August 2010); https://doi.org/10.1117/12.867039
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