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Real Time Video Surveillance System

by Sonali Vaidya, Kamal Shah
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 14
Year of Publication: 2014
Authors: Sonali Vaidya, Kamal Shah
10.5120/15054-3419

Sonali Vaidya, Kamal Shah . Real Time Video Surveillance System. International Journal of Computer Applications. 86, 14 ( January 2014), 22-27. DOI=10.5120/15054-3419

@article{ 10.5120/15054-3419,
author = { Sonali Vaidya, Kamal Shah },
title = { Real Time Video Surveillance System },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 14 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 22-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number14/15054-3419/ },
doi = { 10.5120/15054-3419 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:04:13.395900+05:30
%A Sonali Vaidya
%A Kamal Shah
%T Real Time Video Surveillance System
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 14
%P 22-27
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The role of Real Time video surveillance System has been elevated due to increased importance in safety and security. Traditional systems need human operators to understand the activities of objects of interest and take decisions. However, humans do make mistakes. The main reason is the nature of the task is passively watching multiple monitor screens where nothing special happens for a long period of time. The Proposed Real Time video surveillance system is capable of detecting objects of interest, classify and track them . TheReal time surveillance system with the capability of detecting and recognizing motion of a walking person in video which can lead to useful autonomous system. This can be done by using Gait Analysis for tracking scenarios and generating notification to authoritative person.

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Index Terms

Computer Science
Information Sciences

Keywords

Gait analysis GEI (Gait Energy Image) PCA (Principle Component Analysis) MDA (Multiple Discriminant Analysis)

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