Analysis of artificial neural network and viola-jones algorithm based moving object detection

In recent years, the worrying rate of street crime has demanded more reliable and efficient public surveillance system. Analysis of moving object detection methods is presented in this paper, includes Artificial Neural Network (ANN) and Viola-Jones algorithm. Both methods are compared based on their...

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Main Authors:	Rashidan, M. Ariff, Mohd Mustafah, Yasir, Zainal Abidin, Zulkifli, Zainuddin, N. Afiqah, A. Aziz, Nor Nadirah
Format:	Conference or Workshop Item
Language:	English English
Published:	2014
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://irep.iium.edu.my/41602/ http://irep.iium.edu.my/41602/ http://irep.iium.edu.my/41602/10/41602.pdf http://irep.iium.edu.my/41602/13/41602_Analysis%20of%20artificial%20neural%20network%20and%20viola-jones_Scopus.pdf

id	iium-41602
recordtype	eprints
spelling	iium-416022017-09-19T12:03:16Z http://irep.iium.edu.my/41602/ Analysis of artificial neural network and viola-jones algorithm based moving object detection Rashidan, M. Ariff Mohd Mustafah, Yasir Zainal Abidin, Zulkifli Zainuddin, N. Afiqah A. Aziz, Nor Nadirah TA Engineering (General). Civil engineering (General) In recent years, the worrying rate of street crime has demanded more reliable and efficient public surveillance system. Analysis of moving object detection methods is presented in this paper, includes Artificial Neural Network (ANN) and Viola-Jones algorithm. Both methods are compared based on their precision of correctly classify the moving objects. The emphasis is on two major issues involve in the analysis of moving object detection, and object classification to two groups, pedestrian and motorcycle. Experiments are conducted to quantitatively evaluate the performance of the algorithms by using two types of dataset, which are different in term of complexity of the background. The utilization of cascade architecture to the extracted features, benefits the algorithm. The algorithms have been tested on simulated events, and the more suitable algorithm with high detection rate is expected to be presented in this paper. 2014-09 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/41602/10/41602.pdf application/pdf en http://irep.iium.edu.my/41602/13/41602_Analysis%20of%20artificial%20neural%20network%20and%20viola-jones_Scopus.pdf Rashidan, M. Ariff and Mohd Mustafah, Yasir and Zainal Abidin, Zulkifli and Zainuddin, N. Afiqah and A. Aziz, Nor Nadirah (2014) Analysis of artificial neural network and viola-jones algorithm based moving object detection. In: International Conference on Computer and Communication Engineering (ICCCE 2014), 23rd – 25th September 2014, Sunway Putra Hotel, Kuala Lumpur. http://www.iium.edu.my/iccce/14/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Rashidan, M. Ariff Mohd Mustafah, Yasir Zainal Abidin, Zulkifli Zainuddin, N. Afiqah A. Aziz, Nor Nadirah Analysis of artificial neural network and viola-jones algorithm based moving object detection
description	In recent years, the worrying rate of street crime has demanded more reliable and efficient public surveillance system. Analysis of moving object detection methods is presented in this paper, includes Artificial Neural Network (ANN) and Viola-Jones algorithm. Both methods are compared based on their precision of correctly classify the moving objects. The emphasis is on two major issues involve in the analysis of moving object detection, and object classification to two groups, pedestrian and motorcycle. Experiments are conducted to quantitatively evaluate the performance of the algorithms by using two types of dataset, which are different in term of complexity of the background. The utilization of cascade architecture to the extracted features, benefits the algorithm. The algorithms have been tested on simulated events, and the more suitable algorithm with high detection rate is expected to be presented in this paper.
format	Conference or Workshop Item
author	Rashidan, M. Ariff Mohd Mustafah, Yasir Zainal Abidin, Zulkifli Zainuddin, N. Afiqah A. Aziz, Nor Nadirah
author_facet	Rashidan, M. Ariff Mohd Mustafah, Yasir Zainal Abidin, Zulkifli Zainuddin, N. Afiqah A. Aziz, Nor Nadirah
author_sort	Rashidan, M. Ariff
title	Analysis of artificial neural network and viola-jones algorithm based moving object detection
title_short	Analysis of artificial neural network and viola-jones algorithm based moving object detection
title_full	Analysis of artificial neural network and viola-jones algorithm based moving object detection
title_fullStr	Analysis of artificial neural network and viola-jones algorithm based moving object detection
title_full_unstemmed	Analysis of artificial neural network and viola-jones algorithm based moving object detection
title_sort	analysis of artificial neural network and viola-jones algorithm based moving object detection
publishDate	2014
url	http://irep.iium.edu.my/41602/ http://irep.iium.edu.my/41602/ http://irep.iium.edu.my/41602/10/41602.pdf http://irep.iium.edu.my/41602/13/41602_Analysis%20of%20artificial%20neural%20network%20and%20viola-jones_Scopus.pdf
first_indexed	2023-09-18T20:59:32Z
last_indexed	2023-09-18T20:59:32Z
_version_	1777410530473934848

Analysis of artificial neural network and viola-jones algorithm based moving object detection

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