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Tracking humans and objects in video surveillance system using feature-based method

In recent years, video surveillance system has emerged as one of the active research area in machine vision community. This research intends to integrate machine vision into video surveillance system in order to enhance the accurateness and robustness of video surveillance system. To realize more ro...

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Main Authors: Saeed Baqalaql, Odai, Abir, Intiaz Mohammad, Mohd Ibrahim, Azhar, Shafie, Amir Akramin
Format: Article
Language:English
Published: Universiti Malaysia Pahang Al-Sultan Abdullah Publishing 2024
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/116181/7/116181_Tracking%20humans%20and%20objects%20in%20video%20surveillance%20system.pdf
http://irep.iium.edu.my/116181/
https://journal.ump.edu.my/mekatronika/article/view/11332/3429
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spelling my.iium.irep.1161812024-12-02T02:46:57Z http://irep.iium.edu.my/116181/ Tracking humans and objects in video surveillance system using feature-based method Saeed Baqalaql, Odai Abir, Intiaz Mohammad Mohd Ibrahim, Azhar Shafie, Amir Akramin T Technology (General) In recent years, video surveillance system has emerged as one of the active research area in machine vision community. This research intends to integrate machine vision into video surveillance system in order to enhance the accurateness and robustness of video surveillance system. To realize more robust and secure video surveillance system, an automated system is needed which can detect, classify and track human and objects even when the occlusion occurs. Object tracking is one of the most crucial parts of a automated surveillance system Hence, we proposed a tracking system which includes tracking of human and vehicles in real-time surveillance system and also in solving the problem of partially occluded human by utilizing fast-computation techniques without compromising the accuracy and performance of that particular surveillance system. In this research, we track the classified human and objects using feature-based tracking for five states, which are: entering, leaving, normal, merging, and splitting. The developed system can track the human even if occlusion occurs since we used merging and splitting cases in our tracking algorithm. The overall accuracy for our proposed system in tracking human and car is fine which is at 94.74%. Universiti Malaysia Pahang Al-Sultan Abdullah Publishing 2024-11-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/116181/7/116181_Tracking%20humans%20and%20objects%20in%20video%20surveillance%20system.pdf Saeed Baqalaql, Odai and Abir, Intiaz Mohammad and Mohd Ibrahim, Azhar and Shafie, Amir Akramin (2024) Tracking humans and objects in video surveillance system using feature-based method. Mekatronika Journal of Mechatronics and Intelligent Manufacturing, 6 (2). pp. 39-51. E-ISSN 2637-0883 https://journal.ump.edu.my/mekatronika/article/view/11332/3429
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Saeed Baqalaql, Odai
Abir, Intiaz Mohammad
Mohd Ibrahim, Azhar
Shafie, Amir Akramin
Tracking humans and objects in video surveillance system using feature-based method
description In recent years, video surveillance system has emerged as one of the active research area in machine vision community. This research intends to integrate machine vision into video surveillance system in order to enhance the accurateness and robustness of video surveillance system. To realize more robust and secure video surveillance system, an automated system is needed which can detect, classify and track human and objects even when the occlusion occurs. Object tracking is one of the most crucial parts of a automated surveillance system Hence, we proposed a tracking system which includes tracking of human and vehicles in real-time surveillance system and also in solving the problem of partially occluded human by utilizing fast-computation techniques without compromising the accuracy and performance of that particular surveillance system. In this research, we track the classified human and objects using feature-based tracking for five states, which are: entering, leaving, normal, merging, and splitting. The developed system can track the human even if occlusion occurs since we used merging and splitting cases in our tracking algorithm. The overall accuracy for our proposed system in tracking human and car is fine which is at 94.74%.
format Article
author Saeed Baqalaql, Odai
Abir, Intiaz Mohammad
Mohd Ibrahim, Azhar
Shafie, Amir Akramin
author_facet Saeed Baqalaql, Odai
Abir, Intiaz Mohammad
Mohd Ibrahim, Azhar
Shafie, Amir Akramin
author_sort Saeed Baqalaql, Odai
title Tracking humans and objects in video surveillance system using feature-based method
title_short Tracking humans and objects in video surveillance system using feature-based method
title_full Tracking humans and objects in video surveillance system using feature-based method
title_fullStr Tracking humans and objects in video surveillance system using feature-based method
title_full_unstemmed Tracking humans and objects in video surveillance system using feature-based method
title_sort tracking humans and objects in video surveillance system using feature-based method
publisher Universiti Malaysia Pahang Al-Sultan Abdullah Publishing
publishDate 2024
url http://irep.iium.edu.my/116181/7/116181_Tracking%20humans%20and%20objects%20in%20video%20surveillance%20system.pdf
http://irep.iium.edu.my/116181/
https://journal.ump.edu.my/mekatronika/article/view/11332/3429
_version_ 1817841081389154304
score 13.223943

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