Online Least Squares One-Class Support Vector Machines-Based Abnormal Visual Event Detection

Online Least Squares One-Class Support Vector Machines-Based Abnormal Visual Event Detection

The abnormal event detection problem is an important subject in real-time video surveillance. In this paper, we propose a novel online one-class classification algorithm, online least squares one-class support vector machine (online LS-OC-SVM), combined with its sparsified version (sparse online LS-...

Full description

Bibliographic Details
Main Authors: Tian Wang, Jie Chen, Yi Zhou, Hichem Snoussi
Format: Article
Language:English
Published: MDPI AG 2013-12-01
Series:Sensors
Subjects:
abnormal detection
optical flow
covariance matrix descriptor
online least squares one-class SVM
Online Access:http://www.mdpi.com/1424-8220/13/12/17130

Internet

http://www.mdpi.com/1424-8220/13/12/17130

Similar Items