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Region Filter and Optical Flow based Video Surveillance System

by Dolley Shukla, Surabhi Biswas
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 63 - Number 6
Year of Publication: 2013
Authors: Dolley Shukla, Surabhi Biswas
10.5120/10468-5189

Dolley Shukla, Surabhi Biswas . Region Filter and Optical Flow based Video Surveillance System. International Journal of Computer Applications. 63, 6 ( February 2013), 6-12. DOI=10.5120/10468-5189

@article{ 10.5120/10468-5189,
author = { Dolley Shukla, Surabhi Biswas },
title = { Region Filter and Optical Flow based Video Surveillance System },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 63 },
number = { 6 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 6-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume63/number6/10468-5189/ },
doi = { 10.5120/10468-5189 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:13:25.316754+05:30
%A Dolley Shukla
%A Surabhi Biswas
%T Region Filter and Optical Flow based Video Surveillance System
%J International Journal of Computer Applications
%@ 0975-8887
%V 63
%N 6
%P 6-12
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

During the last few years different video-surveillance systems have been developed based on video processing and using different techniques. This surveillance system generally seeks to track people (and/or vehicles) moving through a scene, to classify the behaviors of each track, and to identify whether these behaviors can be considered normal or abnormal. All Automated surveillance systems require some mechanism to detect interested objects in the field of view of the sensor. Once objects are detected, the further processing for tracking. In my paper a method is described for tracking moving objects from a sequence of video frame. This method is implemented by using optical flow (Horn-Schunck) and Region filtering in matlab simulink. The objective of this paper is to identify and track a moving object within a video sequence for both Abrupt change video as well as Gradual change video in video surveillance.

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Index Terms

Computer Science
Information Sciences

Keywords

Optical flow Region filtering Threshold Simulink

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