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Reseach Article

Automatic Detection of Events and Tracking of Moving Objects in Video Sequences

by Mohammad Mahmood Otoom, Khalid Nazim Abdul Sattar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 1
Year of Publication: 2015
Authors: Mohammad Mahmood Otoom, Khalid Nazim Abdul Sattar
10.5120/21193-3851

Mohammad Mahmood Otoom, Khalid Nazim Abdul Sattar . Automatic Detection of Events and Tracking of Moving Objects in Video Sequences. International Journal of Computer Applications. 120, 1 ( June 2015), 29-35. DOI=10.5120/21193-3851

@article{ 10.5120/21193-3851,
author = { Mohammad Mahmood Otoom, Khalid Nazim Abdul Sattar },
title = { Automatic Detection of Events and Tracking of Moving Objects in Video Sequences },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 1 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 29-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number1/21193-3851/ },
doi = { 10.5120/21193-3851 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:05:07.275885+05:30
%A Mohammad Mahmood Otoom
%A Khalid Nazim Abdul Sattar
%T Automatic Detection of Events and Tracking of Moving Objects in Video Sequences
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 1
%P 29-35
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Digital video is being used widely in a variety of applications such as surveillance and security. Big amount of video in surveillance and security requires systems capable to process video automatically to detect events and track moving objects to alleviate the load on humans and enable preventive actions when events are detected [4]. our paper focuses to develop an intelligent visual surveillance system to replace the traditional passive video surveillance that is proving ineffective as the number of cameras exceeds the capability of human operators to monitor them, and it is able to track objects within a maximum solid angle speed which is measured at about 0. 3 to 0. 2 radian per second, further it also depends on the complexity of the system and the processor speed as well.

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Index Terms

Computer Science
Information Sciences

Keywords

Surveillance background subtraction cumulative distribution function (CDF) probability density function (PDF) Mixture of Gaussians (MoG).