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...
| Main Authors: | , , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
2014
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848782147371925504 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T16:00:50Z |
| format | Proceeding Paper |
| id | iium-41602 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:00:50Z |
| publishDate | 2014 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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/ |
| 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 |
| title | 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_short | 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 |
| topic | TA Engineering (General). Civil engineering (General) |
| 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 |