Audio based dangerous event recognition in indoor environment
Dosbayev Z. Kozhabekova P. Beissenova G. Azhibekova Z. Iztayev Z. Nakhipova V. Kerimbekov M. Seitkhanova A. Konyrbayev N. Seidaliyeva G.
15 July 2021Little Lion Scientific
Journal of Theoretical and Applied Information Technology
2021#99Issue 133120 - 3132 pp.
In recent years, automatic systems that control the daily activities of a person are becoming more common. Their main purpose is to ensure civil security, which is achieved through surveillance in public places and the recognition of potentially dangerous situations. Research in the field of automatic surveillance systems is mainly focused on the detection of events using video analytics. In turn, acoustic monitoring can be used as an additional source of information, and being integrated with video surveillance systems, increase the efficiency of event detection. Audio analysis has features that in some situations allow you to solve monitoring tasks more efficiently than video analysis systems, such as: a) low computational requirements, b) independence from visibility conditions (for example, the presence of fog or insufficient lighting). In this paper, we propose audioevent detection system using audio analysis applying machine learning techniques.
Audio events , Classification , Detection , Machine learning , Security
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Satbayev University, Almaty, Kazakhstan
M. Auezov South Kazakhstan University, Shymkent, Kazakhstan
Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan
Silkway International University, Shymkent, Kazakhstan
University of friendship of peoples academician A. Kuatbekov, Shymkent, Kazakhstan
Korkyt Ata Kyzylorda University, Kyzylorda, Kazakhstan
Kazakh National Agrarian Research University, Almaty, Kazakhstan
Satbayev University
M. Auezov South Kazakhstan University
Asfendiyarov Kazakh National Medical University
Silkway International University
University of friendship of peoples academician A. Kuatbekov
Korkyt Ata Kyzylorda University
Kazakh National Agrarian Research University
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