Incremental learning of an abnormal behavior detection algorithm based on principal components
Roman Shatalin, Vladimir R. Fidelman, Pavel E. Ovchinnikov · Computer Optics · 2020
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.