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Computer Optics, 2020, Volume 44, Issue 3, Pages 476–481
DOI: https://doi.org/10.18287/2412-6179-CO-624_1
(Mi co811)
 

This article is cited in 5 scientific papers (total in 5 papers)

NUMERICAL METHODS AND DATA ANALYSIS

Incremental learning of an abnormal behavior detection algorithm based on principal components

R. A. Shatalin, V. R. Fidelman, P. E. Ovchinnikov

Lobachevsky State University of Nizhny Novgorod, Nizny Novgorod, Russia
Full-text PDF (566 kB) Citations (5)
References:
Abstract: In this paper, we propose an incremental learning scheme for the abnormal behavior detection algorithm based on principal component. The results obtained on a UCSD dataset and our experimental videos at a different number of training samples show that error rates are similar to conventional learning. Moreover, the proposed scheme allows the incremental learning time to be significantly reduced in comparison with a method based on matrix eigendecomposition.
Keywords: incremental learning, video analysis, anomaly detection, principal component analysis.
Received: 27.08.2019
Accepted: 10.12.2019
Document Type: Article
Language: Russian
Citation: R. A. Shatalin, V. R. Fidelman, P. E. Ovchinnikov, “Incremental learning of an abnormal behavior detection algorithm based on principal components”, Computer Optics, 44:3 (2020), 476–481
Citation in format AMSBIB
\Bibitem{ShaFidOvc20}
\by R.~A.~Shatalin, V.~R.~Fidelman, P.~E.~Ovchinnikov
\paper Incremental learning of an abnormal behavior detection algorithm based on principal components
\jour Computer Optics
\yr 2020
\vol 44
\issue 3
\pages 476--481
\mathnet{http://mi.mathnet.ru/co811}
\crossref{https://doi.org/10.18287/2412-6179-CO-624_1}
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  • https://www.mathnet.ru/eng/co/v44/i3/p476
  • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
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    Full-text PDF :46
    References:19
     
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