Energy-Based Surveillance Systems for ATM Machines
Refereed conference paper presented and published in conference proceedings


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其它資訊
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.
著者Ding N, Chen YQ, Zhong Z, Xu YS
會議名稱8th World Congress on Intelligent Control and Automation (WCICA)
會議開始日06.07.2010
會議完結日09.07.2010
會議地點Jinan
會議國家/地區中國
詳細描述organized by IEEE,
出版年份2010
月份1
日期1
出版社IEEE
頁次2880 - 2887
電子國際標準書號978-1-4244-6712-9
語言英式英語
關鍵詞Automatic Teller Machine(ATM); feature extraction; Intelligent surveillance system; Violence behavior detection
Web of Science 學科類別Automation & Control Systems; Engineering; Engineering, Electrical & Electronic

上次更新時間 2021-03-03 於 00:43