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Towards Intelligent Human Behavior Detection for Video Surveillance

Towards Intelligent Human Behavior Detection for Video Surveillance

Swati Nigam, Rajiv Singh, A. K. Misra
Copyright: © 2019 |Pages: 34
ISBN13: 9781522571131|ISBN10: 1522571132|EISBN13: 9781522571148
DOI: 10.4018/978-1-5225-7113-1.ch045
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MLA

Nigam, Swati, et al. "Towards Intelligent Human Behavior Detection for Video Surveillance." Censorship, Surveillance, and Privacy: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2019, pp. 884-917. https://doi.org/10.4018/978-1-5225-7113-1.ch045

APA

Nigam, S., Singh, R., & Misra, A. K. (2019). Towards Intelligent Human Behavior Detection for Video Surveillance. In I. Management Association (Ed.), Censorship, Surveillance, and Privacy: Concepts, Methodologies, Tools, and Applications (pp. 884-917). IGI Global. https://doi.org/10.4018/978-1-5225-7113-1.ch045

Chicago

Nigam, Swati, Rajiv Singh, and A. K. Misra. "Towards Intelligent Human Behavior Detection for Video Surveillance." In Censorship, Surveillance, and Privacy: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 884-917. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7113-1.ch045

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Abstract

Computer vision techniques are capable of detecting human behavior from video sequences. Several state-of-the-art techniques have been proposed for human behavior detection and analysis. However, a collective framework is always required for intelligent human behavior analysis. Therefore, in this chapter, the authors provide a comprehensive understanding towards human behavior detection approaches. The framework of this chapter is based on human detection, human tracking, and human activity recognition, as these are the basic steps of human behavior detection process. The authors provide a detailed discussion over the human behavior detection framework and discuss the feature-descriptor-based approach. Furthermore, they have provided qualitative and quantitative analysis for the detection framework and demonstrate the results for human detection, human tracking, and human activity recognition.

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