 |
Conference papers
Histograms of Optical Flow Orientation for Visual Abnormal Events Detection
Abstract : In this paper, we propose an algorithm to detect abnormal events based on video streams. The algorithm is based on histograms of the orientation of optical flow descriptor and one-class SVM classifier. We introduce grids of Histograms of the Orientation of Optical Flow (HOFs) as the descriptors for motion information of the monolithic video frame. The one-class SVM, after a learning period characterizing normal behaviors, detects the abnormal events in the current frame. Extensive testing on benchmark dataset corroborates the effectiveness of the proposed detection method.
https://hal-utt.archives-ouvertes.fr/hal-02319094
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Thursday, October 17, 2019 - 4:22:38 PM
Last modification on : Tuesday, June 16, 2020 - 4:04:02 PM
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Thursday, October 17, 2019 - 4:22:38 PM
Last modification on : Tuesday, June 16, 2020 - 4:04:02 PM