An Algorithm for Vehicle Detection and Tracking
In this paper, we propose a vehicle detection and tracking algorithm. The detection is done using the median filtering and blob extraction. Median filtering is used for background extraction which is later subtracted from the motion frames for object detection. Morphological operators are employ...
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2010
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| Online Access: | http://scholars.utp.edu.my/id/eprint/2625/ http://scholars.utp.edu.my/id/eprint/2625/1/2010_ICIAS.pdf |
| _version_ | 1848659277101662208 |
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| author | Malik , Aamir Saeed |
| author_facet | Malik , Aamir Saeed |
| author_sort | Malik , Aamir Saeed |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | In this paper, we propose a vehicle detection and tracking
algorithm. The detection is done using the median filtering
and blob extraction. Median filtering is used for background
extraction which is later subtracted from the motion frames
for object detection. Morphological operators are employed
for blob extraction. Hence, object detection is achieved
using median filtering and morphological closing operation.
Kalman filtering is used for object tracking which uses
location of blobs. One of the advantages of this system is
that each vehicle in the frame is classified into different
color boxes. We present preliminary research results that
will finally lead to the identification of the tracked vehicle. |
| first_indexed | 2025-11-13T07:27:52Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:2625 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:27:52Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:26252017-01-19T08:24:12Z http://scholars.utp.edu.my/id/eprint/2625/ An Algorithm for Vehicle Detection and Tracking Malik , Aamir Saeed TK Electrical engineering. Electronics Nuclear engineering In this paper, we propose a vehicle detection and tracking algorithm. The detection is done using the median filtering and blob extraction. Median filtering is used for background extraction which is later subtracted from the motion frames for object detection. Morphological operators are employed for blob extraction. Hence, object detection is achieved using median filtering and morphological closing operation. Kalman filtering is used for object tracking which uses location of blobs. One of the advantages of this system is that each vehicle in the frame is classified into different color boxes. We present preliminary research results that will finally lead to the identification of the tracked vehicle. 2010-06 Conference or Workshop Item PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2625/1/2010_ICIAS.pdf Malik , Aamir Saeed (2010) An Algorithm for Vehicle Detection and Tracking. In: International Conference on Intelligent and Advanced Systems , 15-17 June, 2010, Kuala Lumpur, Malaysia. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Malik , Aamir Saeed An Algorithm for Vehicle Detection and Tracking |
| title | An Algorithm for Vehicle Detection and Tracking |
| title_full | An Algorithm for Vehicle Detection and Tracking |
| title_fullStr | An Algorithm for Vehicle Detection and Tracking |
| title_full_unstemmed | An Algorithm for Vehicle Detection and Tracking |
| title_short | An Algorithm for Vehicle Detection and Tracking |
| title_sort | algorithm for vehicle detection and tracking |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/2625/ http://scholars.utp.edu.my/id/eprint/2625/1/2010_ICIAS.pdf |