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Critical Video Surveillance and Identification of Human Behavior Analysis of ATM Security Systems

Critical Video Surveillance and Identification of Human Behavior Analysis of ATM Security Systems

M. Sivabalakrishnan, R. Menaka, S. Jeeva
Copyright: © 2016 |Pages: 26
ISBN13: 9781522501930|ISBN10: 1522501932|EISBN13: 9781522501947
DOI: 10.4018/978-1-5225-0193-0.ch007
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MLA

Sivabalakrishnan, M., et al. "Critical Video Surveillance and Identification of Human Behavior Analysis of ATM Security Systems." Combating Security Breaches and Criminal Activity in the Digital Sphere, edited by S. Geetha and Asnath Victy Phamila, IGI Global, 2016, pp. 93-118. https://doi.org/10.4018/978-1-5225-0193-0.ch007

APA

Sivabalakrishnan, M., Menaka, R., & Jeeva, S. (2016). Critical Video Surveillance and Identification of Human Behavior Analysis of ATM Security Systems. In S. Geetha & A. Phamila (Eds.), Combating Security Breaches and Criminal Activity in the Digital Sphere (pp. 93-118). IGI Global. https://doi.org/10.4018/978-1-5225-0193-0.ch007

Chicago

Sivabalakrishnan, M., R. Menaka, and S. Jeeva. "Critical Video Surveillance and Identification of Human Behavior Analysis of ATM Security Systems." In Combating Security Breaches and Criminal Activity in the Digital Sphere, edited by S. Geetha and Asnath Victy Phamila, 93-118. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-5225-0193-0.ch007

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Abstract

Video surveillance cameras are placed in many places such as bank, hospital, toll gates, airports, etc. To take advantage of the video in real time, a human must monitor the system continuously in order to alert security officers if there is an emergency. Besides, for event detection a person can observe four cameras with good accuracy at a time. Therefore, this requires expensive human resources for real time video surveillance using current technology. The trajectory of one or more targets obtains for object tracking while recording above space and time. By tracking various objects, the burden of detection by human sentinels is greatly alleviated. Efficient and reliable automatic alarm system is useful for many ATM surveillance applications. ATM Video monitoring systems present many challenging research issues in human abnormal behaviors detection approaches. The framework of ATM video surveillance system encompassing various factors, such as image acquisition, background estimation, background subtraction, segmentation, people counting and tracking are briefly discussed in this chapter.

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