Detection of Abnormal Events via Optical Flow Feature Analysis
In this paper, a novel algorithm is proposed to detect abnormal events in video streams. The algorithm is based on the histogram of the optical flow orientation descriptor and the classification method. The details of the histogram of the optical flow orientation descriptor are illustrated for descr...
Main Authors: | Tian Wang, Hichem Snoussi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2015-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/15/4/7156 |
Similar Items
-
Online Least Squares One-Class Support Vector Machines-Based Abnormal Visual Event Detection
by: Tian Wang, et al.
Published: (2013-12-01) -
Detection of Aphids on Hyperspectral Images Using One-Class SVM and Laplacian of Gaussians
by: Sergio Peignier, et al.
Published: (2023-04-01) -
Forecasting Method of Coal and Gas Outburst Based on KPCA-SVM
by: LI Da-feng, et al.
Published: (2010-10-01) -
End-to-End Deep One-Class Learning for Anomaly Detection in UAV Video Stream
by: Slim Hamdi, et al.
Published: (2021-05-01) -
Anomaly detection in feature space for detecting changes in phytoplankton populations
by: Massimiliano Ciranni, et al.
Published: (2024-01-01)