Gabor Feature based Abnormal Event Detection
Author(s):
Jayandrath R. Mangrolia
Keywords:
Abnormal Event Detection, Gabor Filter, Artificial Neural Network
Abstract
In today’s world security in public places, such as airport, railway stations, shopping malls etc is highly essential, that’s why abnormal event detection in video has attracted more attention in the computer vision research community. This paper presents a novel approach for detection of abnormal events and upon detection of such events notification is sent to concerned authority. The proposed algorithm specifies Gabor filter based features used for motion analysis. Extracted features are given to Artificial Neural Network which is used to recognize whether the input event is normal or abnormal. Proposed algorithm is very much efficient and provides high level of accuracy.
Article Details
Unique Paper ID: 145242

Publication Volume & Issue: Volume 4, Issue 8

Page(s): 125 - 127
Article Preview & Download


Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews