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 Computer Optics: Year: Volume: Issue: Page: Find

 Computer Optics, 2016, Volume 40, Issue 1, Pages 121–129 (Mi co123)

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Multi-sensor systems for monitoring access to restricted areas: capabilities of the intrusion detection video analytical channel

B. N. Epifanceva, A. A. Pyatkovb, S. A. Kopeykina

b LLC “MAGMA-computer”

Abstract: The analysis of research publications dealing with security of critical facilities and their protection from terrorist threats suggests that the multisensor systems proposed in the literature need to be supplemented with a video analytical system to enhance the reliability of detecting the intrusion to the restricted access area and recognition of intruders' intentions. An algorithm for solving the first part of the problem, based on the implementation of the principle of accumulation, is proposed. The issue of recognizing the intruders' intentions is partially addressed. The probabilities of an error of the first and second kind for the proposed intrusion detection algorithm are estimated.

Keywords: restricted access area, intrusion detection, video analytical system, the principle of accumulation, detection rates.

 Funding Agency Grant Number Russian Foundation for Basic Research 15-48-04172_ð_ñèáèðü_à The work is partially funded by the Government of the Omsk Region and RFBR grant No. 15-48-04172/15 of 05.07.2015.

DOI: https://doi.org/10.18287/2412-6179-2016-40-1-121-129

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Revised: 22.01.2016

Citation: B. N. Epifancev, A. A. Pyatkov, S. A. Kopeykin, “Multi-sensor systems for monitoring access to restricted areas: capabilities of the intrusion detection video analytical channel”, Computer Optics, 40:1 (2016), 121–129

Citation in format AMSBIB
\Bibitem{EpiPyaKop16} \by B.~N.~Epifancev, A.~A.~Pyatkov, S.~A.~Kopeykin \paper Multi-sensor systems for monitoring access to restricted areas: capabilities of the intrusion detection video analytical channel \jour Computer Optics \yr 2016 \vol 40 \issue 1 \pages 121--129 \mathnet{http://mi.mathnet.ru/co123} \crossref{https://doi.org/10.18287/2412-6179-2016-40-1-121-129}