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Survey on Multiple Objects Tracking in Video Analytics

by Anjali Parihar, Priyanka Nagarkar, Vishakha Bhosale, Ketan Desale
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 35
Year of Publication: 2019
Authors: Anjali Parihar, Priyanka Nagarkar, Vishakha Bhosale, Ketan Desale
10.5120/ijca2019918292

Anjali Parihar, Priyanka Nagarkar, Vishakha Bhosale, Ketan Desale . Survey on Multiple Objects Tracking in Video Analytics. International Journal of Computer Applications. 181, 35 ( Jan 2019), 5-9. DOI=10.5120/ijca2019918292

@article{ 10.5120/ijca2019918292,
author = { Anjali Parihar, Priyanka Nagarkar, Vishakha Bhosale, Ketan Desale },
title = { Survey on Multiple Objects Tracking in Video Analytics },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2019 },
volume = { 181 },
number = { 35 },
month = { Jan },
year = { 2019 },
issn = { 0975-8887 },
pages = { 5-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number35/30256-2019918292/ },
doi = { 10.5120/ijca2019918292 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:08:11.873135+05:30
%A Anjali Parihar
%A Priyanka Nagarkar
%A Vishakha Bhosale
%A Ketan Desale
%T Survey on Multiple Objects Tracking in Video Analytics
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 35
%P 5-9
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multiple object tracking is being used for many applications nowdays such as automated surveillance, Robotics,self driving cars,medical and many more. There have been continuous improvements in existing state of art MOT(multiple object tracking) methods through many methods and global optimization techniques.This paper focuses on various MOT techniques and how to achieve speedup and efficiency using MOT methods.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Multiple Object Tracking (MOT) Parallel Systems Hadoop MapReduce

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