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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/41602/10/41602.pdf
http://irep.iium.edu.my/41602/13/41602_Analysis%20of%20artificial%20neural%20network%20and%20viola-jones_Scopus.pdf
http://irep.iium.edu.my/41602/
http://www.iium.edu.my/iccce/14/
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spelling my.iium.irep.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 REM 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/
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/41602/10/41602.pdf
http://irep.iium.edu.my/41602/13/41602_Analysis%20of%20artificial%20neural%20network%20and%20viola-jones_Scopus.pdf
http://irep.iium.edu.my/41602/
http://www.iium.edu.my/iccce/14/
_version_ 1643612052205338624
score 13.211869

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