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...
| Main Authors: | , , , , |
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| Format: | Proceeding Paper |
| Language: | English English English |
| Published: |
2014
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| 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 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T16:00:49Z |
| format | Proceeding Paper |
| id | iium-41598 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English English |
| last_indexed | 2025-11-14T16:00:49Z |
| publishDate | 2014 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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. |
| 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) |
| title | 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_short | 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) |
| topic | T Technology (General) TA168 Systems engineering |
| 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 |