This article is cited 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

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

DOI: 10.18287/2412-6179-CO-624_1