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A Review on Object Tracking Across Real-World Multi Camera Environment

by Rino Cherian, Jothimani K., Reeja S.R.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 12
Year of Publication: 2021
Authors: Rino Cherian, Jothimani K., Reeja S.R.
10.5120/ijca2021921007

Rino Cherian, Jothimani K., Reeja S.R. . A Review on Object Tracking Across Real-World Multi Camera Environment. International Journal of Computer Applications. 174, 12 ( Jan 2021), 32-37. DOI=10.5120/ijca2021921007

@article{ 10.5120/ijca2021921007,
author = { Rino Cherian, Jothimani K., Reeja S.R. },
title = { A Review on Object Tracking Across Real-World Multi Camera Environment },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2021 },
volume = { 174 },
number = { 12 },
month = { Jan },
year = { 2021 },
issn = { 0975-8887 },
pages = { 32-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number12/31733-2021921007/ },
doi = { 10.5120/ijca2021921007 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:23:46.930754+05:30
%A Rino Cherian
%A Jothimani K.
%A Reeja S.R.
%T A Review on Object Tracking Across Real-World Multi Camera Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 12
%P 32-37
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Object identification, tracking and monitoring are significant and testing assignments in numerous computer vision applications, for example, surveillance, vehicle navigation and self-governing robot navigation. Video reconnaissance in a powerful environment, particularly for people and vehicles, is one of the momentum testing research points. It is a key innovation to battle against illegal activity, offence, public security and for effective administration of traffic. The work includes planning of the proficient video observation framework in complex conditions. In video observation, recognition of moving items from a video is significant for object discovery, target tracking, and behavior understanding. Recognition of moving items in video transfers is the primary significant advance of data and background subtraction is a famous methodology for frontal segmentation. In this paper, after surveying ongoing advances of online article, we do enormous scope tries different things with different assessment standards to see how these algorithms perform. By breaking down quantitative outcomes, we distinguish viable methodologies for powerful following and give potential future examination bearings in this field.

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Index Terms

Computer Science
Information Sciences

Keywords

Object Tracking

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