Features selection for multi-camera tracking

Snatch theft is becoming more prevalent in Malaysia nowadays and proper measures must be taken to reduce it. CCTV surveillance systems have been widely used as a street crime prevention tool across public and private areas. Tracking the same object within different cameras' view is essential in...

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Main Authors:	A. Aziz, Nor Nadirah, Mohd Mustafah, Yasir, Azman, Amelia Wong, Zainuddin, N. Afiqah, Rashidan, M. Ariff
Format:	Conference or Workshop Item
Language:	English English English
Published:	2014
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/41606/ http://irep.iium.edu.my/41606/4/ICCCE_2014_TENTATIVE_PROGRAMME.pdf http://irep.iium.edu.my/41606/7/41606.pdf http://irep.iium.edu.my/41606/10/41606_Features%20selection%20for%20multi-camera%20tracking_Scopus.pdf

id	iium-41606
recordtype	eprints
spelling	iium-416062017-09-21T12:13:56Z http://irep.iium.edu.my/41606/ Features selection for multi-camera tracking A. Aziz, Nor Nadirah Mohd Mustafah, Yasir Azman, Amelia Wong Zainuddin, N. Afiqah Rashidan, M. Ariff T Technology (General) Snatch theft is becoming more prevalent in Malaysia nowadays and proper measures must be taken to reduce it. CCTV surveillance systems have been widely used as a street crime prevention tool across public and private areas. Tracking the same object within different cameras' view is essential in many surveillance applications. Recently, most of the researchers have grown more interest on how to track objects across cameras due to the increasing number of cameras. However, the current approach proposed by the researchers still offer trade-off in terms of its accuracy and speed. As the tracking accuracy increases, the speed will decrease that acts reversely proportional to it. This paper presents a novel approach to track moving objects across distributed cameras that provides the most optimal trade-off based on color, texture and edge features. The color, edge and texture features for target and candidate blobs are computed by a novel computational algorithm. This study focuses on analyzing of video surveillance in public places, specifically in outdoor environment. In the result section, the comparison between the effectiveness of the features used in the tracking algorithm is presented. The performance of the method is analyzed based on its accuracy and speed. The more suitable features are identified. Experimental results show the effectiveness of this method for real-time operation. 2014-09 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/41606/4/ICCCE_2014_TENTATIVE_PROGRAMME.pdf application/pdf en http://irep.iium.edu.my/41606/7/41606.pdf application/pdf en http://irep.iium.edu.my/41606/10/41606_Features%20selection%20for%20multi-camera%20tracking_Scopus.pdf A. Aziz, Nor Nadirah and Mohd Mustafah, Yasir and Azman, Amelia Wong and Zainuddin, N. Afiqah and Rashidan, M. Ariff (2014) Features selection for multi-camera tracking. In: International Conference on Computer and Communication Engineering (ICCCE 2014), 23rd – 25th September 2014, Sunway Putra Hotel, Kuala Lumpur.
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 Zainuddin, N. Afiqah Rashidan, M. Ariff Features selection for multi-camera tracking
description	Snatch theft is becoming more prevalent in Malaysia nowadays and proper measures must be taken to reduce it. CCTV surveillance systems have been widely used as a street crime prevention tool across public and private areas. Tracking the same object within different cameras' view is essential in many surveillance applications. Recently, most of the researchers have grown more interest on how to track objects across cameras due to the increasing number of cameras. However, the current approach proposed by the researchers still offer trade-off in terms of its accuracy and speed. As the tracking accuracy increases, the speed will decrease that acts reversely proportional to it. This paper presents a novel approach to track moving objects across distributed cameras that provides the most optimal trade-off based on color, texture and edge features. The color, edge and texture features for target and candidate blobs are computed by a novel computational algorithm. This study focuses on analyzing of video surveillance in public places, specifically in outdoor environment. In the result section, the comparison between the effectiveness of the features used in the tracking algorithm is presented. The performance of the method is analyzed based on its accuracy and speed. The more suitable features are identified. Experimental results show the effectiveness of this method for real-time operation.
format	Conference or Workshop Item
author	A. Aziz, Nor Nadirah Mohd Mustafah, Yasir Azman, Amelia Wong Zainuddin, N. Afiqah Rashidan, M. Ariff
author_facet	A. Aziz, Nor Nadirah Mohd Mustafah, Yasir Azman, Amelia Wong Zainuddin, N. Afiqah Rashidan, M. Ariff
author_sort	A. Aziz, Nor Nadirah
title	Features selection for multi-camera tracking
title_short	Features selection for multi-camera tracking
title_full	Features selection for multi-camera tracking
title_fullStr	Features selection for multi-camera tracking
title_full_unstemmed	Features selection for multi-camera tracking
title_sort	features selection for multi-camera tracking
publishDate	2014
url	http://irep.iium.edu.my/41606/ http://irep.iium.edu.my/41606/4/ICCCE_2014_TENTATIVE_PROGRAMME.pdf http://irep.iium.edu.my/41606/7/41606.pdf http://irep.iium.edu.my/41606/10/41606_Features%20selection%20for%20multi-camera%20tracking_Scopus.pdf
first_indexed	2023-09-18T20:59:32Z
last_indexed	2023-09-18T20:59:32Z
_version_	1777410530766487552

Features selection for multi-camera tracking

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