NDLI: Energy-based surveillance systems for ATM machines

Content Provider	IEEE Xplore Digital Library
Author	Ning Ding Yongquan Chen Zhi Zhong Yangsheng Xu
Copyright Year	2010
Description	Author affiliation: Mechanical and Automation Engineering Department, The Chinese University of Hong Kong, China (Ning Ding; Yongquan Chen; Zhi Zhong; Yangsheng Xu)
Abstract	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.
Starting Page	2880
Ending Page	2887
File Size	1043928
Page Count	8
File Format	PDF
ISBN	9781424467129
e-ISBN	9781424467129
DOI	10.1109/WCICA.2010.5554907
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Asynchronous transfer mode Video surveillance Kinetic energy Streaming media Humans Feature extraction Pixel Automatic Teller Machine (ATM) Intelligent surveillance system feature extraction Violence behavior detection
Content Type	Text
Resource Type	Article

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