Traffic intensity monitoring using multiple object detection with traffic surveillance cameras
Object detection and tracking is a field of research that has many applications in the current generation with increasing number of cameras on the streets and lower cost for Internet of Things(IoT). In this paper, a traffic intensity monitoring system is implemented based on the Macroscopic Urban...
| Main Authors: | , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IOP Publishing
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/59584/ http://irep.iium.edu.my/59584/1/Traffic%20intensity%20monitoring%20using%20multiple%20object%20Muhammad_Hamdan_2017_IOP_Conf._Ser.%253A_Mater._Sci._Eng._260_012009.pdf http://irep.iium.edu.my/59584/12/59584%20Traffic%20intensity%20monitoring%20using%20multiple%20object%20detection%20SCOPUS.pdf |
| _version_ | 1848785337071960064 |
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| author | Hasan Gani, Muhammad Hamdan Khalifa, Othman Omran |
| author_facet | Hasan Gani, Muhammad Hamdan Khalifa, Othman Omran |
| author_sort | Hasan Gani, Muhammad Hamdan |
| building | IIUM Repository |
| collection | Online Access |
| description | Object detection and tracking is a field of research that has many applications in the
current generation with increasing number of cameras on the streets and lower cost for Internet
of Things(IoT). In this paper, a traffic intensity monitoring system is implemented based on the
Macroscopic Urban Traffic model is proposed using computer vision as its source. The input of
this program is extracted from a traffic surveillance camera which has another program running
a neural network classification which can identify and differentiate the vehicle type is
implanted. The neural network toolbox is trained with positive and negative input to increase
accuracy. The accuracy of the program is compared to other related works done and the trends
of the traffic intensity from a road is also calculated. relevant articles in literature searches,
great care should be taken in constructing both. Lastly the limitation and the future work is
concluded. |
| first_indexed | 2025-11-14T16:51:32Z |
| format | Proceeding Paper |
| id | iium-59584 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:51:32Z |
| publishDate | 2017 |
| publisher | IOP Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-595842018-03-22T08:28:11Z http://irep.iium.edu.my/59584/ Traffic intensity monitoring using multiple object detection with traffic surveillance cameras Hasan Gani, Muhammad Hamdan Khalifa, Othman Omran T Technology (General) TL1 Motor vehicles Object detection and tracking is a field of research that has many applications in the current generation with increasing number of cameras on the streets and lower cost for Internet of Things(IoT). In this paper, a traffic intensity monitoring system is implemented based on the Macroscopic Urban Traffic model is proposed using computer vision as its source. The input of this program is extracted from a traffic surveillance camera which has another program running a neural network classification which can identify and differentiate the vehicle type is implanted. The neural network toolbox is trained with positive and negative input to increase accuracy. The accuracy of the program is compared to other related works done and the trends of the traffic intensity from a road is also calculated. relevant articles in literature searches, great care should be taken in constructing both. Lastly the limitation and the future work is concluded. IOP Publishing 2017-11-07 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/59584/1/Traffic%20intensity%20monitoring%20using%20multiple%20object%20Muhammad_Hamdan_2017_IOP_Conf._Ser.%253A_Mater._Sci._Eng._260_012009.pdf application/pdf en http://irep.iium.edu.my/59584/12/59584%20Traffic%20intensity%20monitoring%20using%20multiple%20object%20detection%20SCOPUS.pdf Hasan Gani, Muhammad Hamdan and Khalifa, Othman Omran (2017) Traffic intensity monitoring using multiple object detection with traffic surveillance cameras. In: 6th International Conference on Mechatronics - ICOM'17, 8th–9th August 2017, Kuala Lumpur. http://iopscience.iop.org/article/10.1088/1757-899X/260/1/012009 10.1088/1757-899X/260/1/012009 |
| spellingShingle | T Technology (General) TL1 Motor vehicles Hasan Gani, Muhammad Hamdan Khalifa, Othman Omran Traffic intensity monitoring using multiple object detection with traffic surveillance cameras |
| title | Traffic intensity monitoring using multiple object detection
with traffic surveillance cameras |
| title_full | Traffic intensity monitoring using multiple object detection
with traffic surveillance cameras |
| title_fullStr | Traffic intensity monitoring using multiple object detection
with traffic surveillance cameras |
| title_full_unstemmed | Traffic intensity monitoring using multiple object detection
with traffic surveillance cameras |
| title_short | Traffic intensity monitoring using multiple object detection
with traffic surveillance cameras |
| title_sort | traffic intensity monitoring using multiple object detection
with traffic surveillance cameras |
| topic | T Technology (General) TL1 Motor vehicles |
| url | http://irep.iium.edu.my/59584/ http://irep.iium.edu.my/59584/ http://irep.iium.edu.my/59584/ http://irep.iium.edu.my/59584/1/Traffic%20intensity%20monitoring%20using%20multiple%20object%20Muhammad_Hamdan_2017_IOP_Conf._Ser.%253A_Mater._Sci._Eng._260_012009.pdf http://irep.iium.edu.my/59584/12/59584%20Traffic%20intensity%20monitoring%20using%20multiple%20object%20detection%20SCOPUS.pdf |