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This article is cited in 2 scientific papers (total in 2 papers)
Analysis of signals, audio and video information
Intelligent video surveillance system for human behavior
A. D. Ulyev, V. Rozaliev, A. Zaboleeva-Zotova, J. A. Orlova Volgograd State Technical University
Abstract:
The paper describes an intelligent video surveillance system for human behavior and provides a brief overview of systems with similar functional characteristics. We present a collection of methods and algorithms for automatic recognition of human images, their identification, and analysis of behavior based on motor activity using a cascade of neural networks. A technology for capturing a person's image and tracking their movements between video cameras is proposed.
Keywords:
video image, human posture recognition, motor activity, behavior monitoring, intelligent system, artificial neural networks.
Citation:
A. D. Ulyev, V. Rozaliev, A. Zaboleeva-Zotova, J. A. Orlova, “Intelligent video surveillance system for human behavior”, Artificial Intelligence and Decision Making, 2020, no. 4, 21–32; Scientific and Technical Information Processing, 48:5 (2021), 388–397
Linking options:
https://www.mathnet.ru/eng/iipr149 https://www.mathnet.ru/eng/iipr/y2020/i4/p21
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Abstract page: | 17 | Full-text PDF : | 39 | References: | 1 |
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