Energy-based surveillance systems for ATM machines | |
Ning Ding; Yongquan Chen; Zhi Zhong; Yangsheng Xu | |
2010 | |
会议名称 | 2010 8th World Congress on Intelligent Control and Automation, WCICA 2010 |
会议地点 | Jinan, China |
英文摘要 | This paper presents a video surveillance system which can detect and deal with typical abnormal behaviors on Automatic Teller Machine (ATM), such as fraud and robbery, etc. Based on the case study of violent incident video records, a weighted kinetic energy extraction approach for violence identification is proposed. By using the new approach, the motion field is weighted with angle coefficient, thus reducing the video stream to a one-dimension energy series. Experimental results show that the ATM video surveillance system with energy approach is effective for typical incident classification and that the corresponding alarm signal is reliable |
收录类别 | EI |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/2905] ![]() |
专题 | 深圳先进技术研究院_集成所 |
作者单位 | 2010 |
推荐引用方式 GB/T 7714 | Ning Ding,Yongquan Chen,Zhi Zhong,et al. Energy-based surveillance systems for ATM machines[C]. 见:2010 8th World Congress on Intelligent Control and Automation, WCICA 2010. Jinan, China. |
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