Detection of different classes moving object in public surveillance using artificial neural network (ANN)

Public surveillance monitoring is rapidly finding its way into Intelligent Surveillance Systems. Street crimes such as snatch theft is increasing drastically in recent years, cause a serious threat to human life worldwide. In this paper, a moving object detection and classification model was develop...

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Main Authors:	Rashidan, M. Ariff, Mohd Mustafah, Yasir, Abdul Hamid, Syamsul Bahrin, Zainuddin, N. Afiqah, A. Aziz, Nor Nadirah
Format:	Conference or Workshop Item
Language:	English English English
Published:	2014
Subjects:	T Technology (General) TA168 Systems engineering
Online Access:	http://irep.iium.edu.my/41598/ http://irep.iium.edu.my/41598/4/ICCCE_2014_TENTATIVE_PROGRAMME.pdf http://irep.iium.edu.my/41598/7/41598.pdf http://irep.iium.edu.my/41598/10/41598_Detection%20of%20different%20classes%20moving%20object%20in%20public_Scopus.pdf

id	iium-41598
recordtype	eprints
spelling	iium-415982017-09-21T09:33:36Z http://irep.iium.edu.my/41598/ Detection of different classes moving object in public surveillance using artificial neural network (ANN) Rashidan, M. Ariff Mohd Mustafah, Yasir Abdul Hamid, Syamsul Bahrin Zainuddin, N. Afiqah A. Aziz, Nor Nadirah T Technology (General) TA168 Systems engineering Public surveillance monitoring is rapidly finding its way into Intelligent Surveillance Systems. Street crimes such as snatch theft is increasing drastically in recent years, cause a serious threat to human life worldwide. In this paper, a moving object detection and classification model was developed using novel Artificial Neural Network (ANN) simulation with the aim to identify its suitability for different classes of moving objects, particularly in public surveillance conditions. The result demonstrated that the proposed method consistently performs well with different classes of moving objects such as, motorcyclist, and pedestrian. Thus, it is reliable to detect different classes of moving object in public surveillance camera. It is also computationally fast and applicable for detecting moving objects in real-time. 2014-09 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/41598/4/ICCCE_2014_TENTATIVE_PROGRAMME.pdf application/pdf en http://irep.iium.edu.my/41598/7/41598.pdf application/pdf en http://irep.iium.edu.my/41598/10/41598_Detection%20of%20different%20classes%20moving%20object%20in%20public_Scopus.pdf Rashidan, M. Ariff and Mohd Mustafah, Yasir and Abdul Hamid, Syamsul Bahrin and Zainuddin, N. Afiqah and A. Aziz, Nor Nadirah (2014) Detection of different classes moving object in public surveillance using artificial neural network (ANN). 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) TA168 Systems engineering
spellingShingle	T Technology (General) TA168 Systems engineering Rashidan, M. Ariff Mohd Mustafah, Yasir Abdul Hamid, Syamsul Bahrin Zainuddin, N. Afiqah A. Aziz, Nor Nadirah Detection of different classes moving object in public surveillance using artificial neural network (ANN)
description	Public surveillance monitoring is rapidly finding its way into Intelligent Surveillance Systems. Street crimes such as snatch theft is increasing drastically in recent years, cause a serious threat to human life worldwide. In this paper, a moving object detection and classification model was developed using novel Artificial Neural Network (ANN) simulation with the aim to identify its suitability for different classes of moving objects, particularly in public surveillance conditions. The result demonstrated that the proposed method consistently performs well with different classes of moving objects such as, motorcyclist, and pedestrian. Thus, it is reliable to detect different classes of moving object in public surveillance camera. It is also computationally fast and applicable for detecting moving objects in real-time.
format	Conference or Workshop Item
author	Rashidan, M. Ariff Mohd Mustafah, Yasir Abdul Hamid, Syamsul Bahrin Zainuddin, N. Afiqah A. Aziz, Nor Nadirah
author_facet	Rashidan, M. Ariff Mohd Mustafah, Yasir Abdul Hamid, Syamsul Bahrin Zainuddin, N. Afiqah A. Aziz, Nor Nadirah
author_sort	Rashidan, M. Ariff
title	Detection of different classes moving object in public surveillance using artificial neural network (ANN)
title_short	Detection of different classes moving object in public surveillance using artificial neural network (ANN)
title_full	Detection of different classes moving object in public surveillance using artificial neural network (ANN)
title_fullStr	Detection of different classes moving object in public surveillance using artificial neural network (ANN)
title_full_unstemmed	Detection of different classes moving object in public surveillance using artificial neural network (ANN)
title_sort	detection of different classes moving object in public surveillance using artificial neural network (ann)
publishDate	2014
url	http://irep.iium.edu.my/41598/ http://irep.iium.edu.my/41598/4/ICCCE_2014_TENTATIVE_PROGRAMME.pdf http://irep.iium.edu.my/41598/7/41598.pdf http://irep.iium.edu.my/41598/10/41598_Detection%20of%20different%20classes%20moving%20object%20in%20public_Scopus.pdf
first_indexed	2023-09-18T20:59:32Z
last_indexed	2023-09-18T20:59:32Z
_version_	1777410530189770752

Detection of different classes moving object in public surveillance using artificial neural network (ANN)

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