Features-based moving objects tracking for smart video surveillances: A review

Video surveillance is one of the most active research topics in the computer vision due to the increasing need for security. Although surveillance systems are getting cheaper, the cost of having human operators to monitor the video feed can be very expensive and inefficient. To overcome this problem...

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Main Authors:	Abdul Aziz, Nor Nadirah, Mohd Mustafah, Yasir, Azman, Amelia Wong, Shafie, Amir Akramin, Yusoff, Muhammad Izad, Zainuddin, Nor Afiqah, Rashidan, Mohammad Ariff
Format:	Article
Language:	English English English
Published:	World Scientific 2018
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://irep.iium.edu.my/66459/ http://irep.iium.edu.my/66459/ http://irep.iium.edu.my/66459/ http://irep.iium.edu.my/66459/9/66459_Features-Based%20Moving%20Objects%20Tracking%20for%20Smart_article_new.pdf http://irep.iium.edu.my/66459/2/66459_Features-Based%20Moving%20Objects%20Tracking%20for%20Smart_scopus.pdf http://irep.iium.edu.my/66459/15/66459%20Features-Based%20Moving%20Objects%20Tracking%20for%20Smart%20Video%20Surveillances_wos.pdf

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spelling	iium-664592019-01-24T03:54:43Z http://irep.iium.edu.my/66459/ Features-based moving objects tracking for smart video surveillances: A review Abdul Aziz, Nor Nadirah Mohd Mustafah, Yasir Azman, Amelia Wong Shafie, Amir Akramin Yusoff, Muhammad Izad Zainuddin, Nor Afiqah Rashidan, Mohammad Ariff TJ Mechanical engineering and machinery Video surveillance is one of the most active research topics in the computer vision due to the increasing need for security. Although surveillance systems are getting cheaper, the cost of having human operators to monitor the video feed can be very expensive and inefficient. To overcome this problem, the automated visual surveillance system can be used to detect any suspicious activities that require immediate action. The framework of a video surveillance system encompasses a large scope in machine vision, they are background modelling, object detection, moving objects classification, tracking, motion analysis, and require fusion of information from the camera networks. This paper reviews recent techniques used by researchers for detection of moving object detection and tracking in order to solve many surveillance problems. The features and algorithms used for modelling the object appearance and tracking multiple objects in outdoor and indoor environment are also reviewed in this paper. This paper summarizes the recent works done by previous researchers in moving objects tracking for single camera view and multiple cameras views. Nevertheless, despite of the recent progress in surveillance technologies, there still are challenges that need to be solved before the system can come out with a reliable automated video surveillance. World Scientific 2018-03-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/66459/9/66459_Features-Based%20Moving%20Objects%20Tracking%20for%20Smart_article_new.pdf application/pdf en http://irep.iium.edu.my/66459/2/66459_Features-Based%20Moving%20Objects%20Tracking%20for%20Smart_scopus.pdf application/pdf en http://irep.iium.edu.my/66459/15/66459%20Features-Based%20Moving%20Objects%20Tracking%20for%20Smart%20Video%20Surveillances_wos.pdf Abdul Aziz, Nor Nadirah and Mohd Mustafah, Yasir and Azman, Amelia Wong and Shafie, Amir Akramin and Yusoff, Muhammad Izad and Zainuddin, Nor Afiqah and Rashidan, Mohammad Ariff (2018) Features-based moving objects tracking for smart video surveillances: A review. International Journal on Artificial Intelligence Tools, 27 (2). ISSN 0218-2130 ttps://www.worldscientific.com/doi/pdf/10.1142/S0218213018300016 10.1142/S0218213018300016
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Abdul Aziz, Nor Nadirah Mohd Mustafah, Yasir Azman, Amelia Wong Shafie, Amir Akramin Yusoff, Muhammad Izad Zainuddin, Nor Afiqah Rashidan, Mohammad Ariff Features-based moving objects tracking for smart video surveillances: A review
description	Video surveillance is one of the most active research topics in the computer vision due to the increasing need for security. Although surveillance systems are getting cheaper, the cost of having human operators to monitor the video feed can be very expensive and inefficient. To overcome this problem, the automated visual surveillance system can be used to detect any suspicious activities that require immediate action. The framework of a video surveillance system encompasses a large scope in machine vision, they are background modelling, object detection, moving objects classification, tracking, motion analysis, and require fusion of information from the camera networks. This paper reviews recent techniques used by researchers for detection of moving object detection and tracking in order to solve many surveillance problems. The features and algorithms used for modelling the object appearance and tracking multiple objects in outdoor and indoor environment are also reviewed in this paper. This paper summarizes the recent works done by previous researchers in moving objects tracking for single camera view and multiple cameras views. Nevertheless, despite of the recent progress in surveillance technologies, there still are challenges that need to be solved before the system can come out with a reliable automated video surveillance.
format	Article
author	Abdul Aziz, Nor Nadirah Mohd Mustafah, Yasir Azman, Amelia Wong Shafie, Amir Akramin Yusoff, Muhammad Izad Zainuddin, Nor Afiqah Rashidan, Mohammad Ariff
author_facet	Abdul Aziz, Nor Nadirah Mohd Mustafah, Yasir Azman, Amelia Wong Shafie, Amir Akramin Yusoff, Muhammad Izad Zainuddin, Nor Afiqah Rashidan, Mohammad Ariff
author_sort	Abdul Aziz, Nor Nadirah
title	Features-based moving objects tracking for smart video surveillances: A review
title_short	Features-based moving objects tracking for smart video surveillances: A review
title_full	Features-based moving objects tracking for smart video surveillances: A review
title_fullStr	Features-based moving objects tracking for smart video surveillances: A review
title_full_unstemmed	Features-based moving objects tracking for smart video surveillances: A review
title_sort	features-based moving objects tracking for smart video surveillances: a review
publisher	World Scientific
publishDate	2018
url	http://irep.iium.edu.my/66459/ http://irep.iium.edu.my/66459/ http://irep.iium.edu.my/66459/ http://irep.iium.edu.my/66459/9/66459_Features-Based%20Moving%20Objects%20Tracking%20for%20Smart_article_new.pdf http://irep.iium.edu.my/66459/2/66459_Features-Based%20Moving%20Objects%20Tracking%20for%20Smart_scopus.pdf http://irep.iium.edu.my/66459/15/66459%20Features-Based%20Moving%20Objects%20Tracking%20for%20Smart%20Video%20Surveillances_wos.pdf
first_indexed	2023-09-18T21:34:21Z
last_indexed	2023-09-18T21:34:21Z
_version_	1777412721118019584

Features-based moving objects tracking for smart video surveillances: A review

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