Real-time moving objects tracking for distributed smart video surveillances

Tracking the object of interest within a camera's view is essential for crime prevention. This study focuses on analyzing video surveillance in public places. It presents a novel approach to track moving objects across non-overlapping cameras' views that is able to give a consistent label...

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Main Authors:	A. 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:	Praise Worthy Prize 2016
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/53270/ http://irep.iium.edu.my/53270/ http://irep.iium.edu.my/53270/1/IRECOS%20journal.pdf http://irep.iium.edu.my/53270/2/53270_real%20time%20moving_scopus.pdf http://irep.iium.edu.my/53270/3/53270_real%20time%20moving%20TOC.pdf

id	iium-53270
recordtype	eprints
spelling	iium-532702016-12-29T03:24:05Z http://irep.iium.edu.my/53270/ Real-time moving objects tracking for distributed smart video surveillances A. Aziz, Nor Nadirah Mohd Mustafah, Yasir Azman, Amelia Wong Shafie, Amir Akramin Yusoff, Muhammad Izad Zainuddin, Nor Afiqah Rashidan, Mohammad Ariff T Technology (General) Tracking the object of interest within a camera's view is essential for crime prevention. This study focuses on analyzing video surveillance in public places. It presents a novel approach to track moving objects across non-overlapping cameras' views that is able to give a consistent label to the objects throughout the whole multi-camera system in real-time. The proposed algorithm is also expected to be able to handle common problems in multiple-camera object tracking including variation of poses, object appearances and occlusion problems. The proposed algorithm was formulated based on visual and temporal cues for multiple cameras using entering/exiting and merging/splitting cases to deal with appearance changes and occlusion problems. Spatial cues are adopted in single-camera object tracking for real-time performance. A novel object segmentation technique based on the observed mask binary value is presented to deal with pose variation across different cameras. In the result section, the comparison between past works and the proposed tracking algorithm are presented. The experimental results Praise Worthy Prize 2016-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/53270/1/IRECOS%20journal.pdf application/pdf en http://irep.iium.edu.my/53270/2/53270_real%20time%20moving_scopus.pdf application/pdf en http://irep.iium.edu.my/53270/3/53270_real%20time%20moving%20TOC.pdf A. 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 (2016) Real-time moving objects tracking for distributed smart video surveillances. International Review on Computers and Software, 11 (4). pp. 324-335. ISSN 1828-6003 E-ISSN 1828-6011 10.15866/irecos.v11i4.8414
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	T Technology (General)
spellingShingle	T Technology (General) A. Aziz, Nor Nadirah Mohd Mustafah, Yasir Azman, Amelia Wong Shafie, Amir Akramin Yusoff, Muhammad Izad Zainuddin, Nor Afiqah Rashidan, Mohammad Ariff Real-time moving objects tracking for distributed smart video surveillances
description	Tracking the object of interest within a camera's view is essential for crime prevention. This study focuses on analyzing video surveillance in public places. It presents a novel approach to track moving objects across non-overlapping cameras' views that is able to give a consistent label to the objects throughout the whole multi-camera system in real-time. The proposed algorithm is also expected to be able to handle common problems in multiple-camera object tracking including variation of poses, object appearances and occlusion problems. The proposed algorithm was formulated based on visual and temporal cues for multiple cameras using entering/exiting and merging/splitting cases to deal with appearance changes and occlusion problems. Spatial cues are adopted in single-camera object tracking for real-time performance. A novel object segmentation technique based on the observed mask binary value is presented to deal with pose variation across different cameras. In the result section, the comparison between past works and the proposed tracking algorithm are presented. The experimental results
format	Article
author	A. Aziz, Nor Nadirah Mohd Mustafah, Yasir Azman, Amelia Wong Shafie, Amir Akramin Yusoff, Muhammad Izad Zainuddin, Nor Afiqah Rashidan, Mohammad Ariff
author_facet	A. Aziz, Nor Nadirah Mohd Mustafah, Yasir Azman, Amelia Wong Shafie, Amir Akramin Yusoff, Muhammad Izad Zainuddin, Nor Afiqah Rashidan, Mohammad Ariff
author_sort	A. Aziz, Nor Nadirah
title	Real-time moving objects tracking for distributed smart video surveillances
title_short	Real-time moving objects tracking for distributed smart video surveillances
title_full	Real-time moving objects tracking for distributed smart video surveillances
title_fullStr	Real-time moving objects tracking for distributed smart video surveillances
title_full_unstemmed	Real-time moving objects tracking for distributed smart video surveillances
title_sort	real-time moving objects tracking for distributed smart video surveillances
publisher	Praise Worthy Prize
publishDate	2016
url	http://irep.iium.edu.my/53270/ http://irep.iium.edu.my/53270/ http://irep.iium.edu.my/53270/1/IRECOS%20journal.pdf http://irep.iium.edu.my/53270/2/53270_real%20time%20moving_scopus.pdf http://irep.iium.edu.my/53270/3/53270_real%20time%20moving%20TOC.pdf
first_indexed	2023-09-18T21:15:25Z
last_indexed	2023-09-18T21:15:25Z
_version_	1777411529523593216

Real-time moving objects tracking for distributed smart video surveillances

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