Novosibirsk State University Journal of Information Technologies
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ISSN 2410-0420 (Online), ISSN 1818-7900 (Print)

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All Issues >> Contents: Volume 15, Issue No 3 (2017)

Algorithms for Detecting Incident for Automated Video Surveillance Systems
M. S. Gordin, S. A. Ivanov

Novosibirsk State University

DOI: DOI 10.25205/1818-7900-2017-15-3-21-30
UDC code: 004.932

The article is devoted to real-time algorithms for detecting events described by four scenarios: movement in the prohibited direction, movement in the sterile zone, abandonment (abduction) of the object, throwing the object. The main idea of algorithms is the analysis of the trajectories of moving objects, for obtaining which two different approaches are proposed in the article.

Key Words
digital image processing, video analytics, video surveillance systems, object detection, tracking

How to cite:
Gordin M. S., Ivanov S. A. Algorithms for Detecting Incident for Automated Video Surveillance Systems // Vestnik NSU Series: Information Technologies. - 2017. - Volume 15, Issue No 3. - P. 21–30. - DOI 10.25205/1818-7900-2017-15-3-21-30. - ISSN 1818-7900. (in Russian).

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Publication information
Main title Vestnik NSU Series: Information Technologies, Volume 15, Issue No 3 (2017).
Parallel title: Novosibirsk State University Journal of Information Technologies Volume 15, Issue No 3 (2017).

Key title: Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriâ: Informacionnye tehnologii
Abbreviated key title: Vestn. Novosib. Gos. Univ., Ser.: Inf. Tehnol.
Variant title: Vestnik NGU. Seriâ: Informacionnye tehnologii

Year of Publication: 2017
ISSN: 1818-7900 (Print), ISSN 2410-0420 (Online)
Publisher: Novosibirsk State University Press
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