Recognition of vehicle make and model in low light conditions
This paper presents a method for vehicle make and model recognition (MMR) in low lighting conditions. While many MMR methods exist in the literature, these methods are designed to be used only in perfect operating conditions. The various camera configuration, lighting condition, and viewpoints cause...
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| Format: | Article |
| Language: | English |
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Institute of Advanced Engineering and Science
2020
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| Online Access: | http://eprints.utm.my/90644/1/UsmanUllahSheikh2020_RecognitionofVehicleMakeandModel.pdf |
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| author | Abbas, Aymen Fadhil Sheikh, Usman Ullah Haji Mohd., Mohd. Norzali |
| author_facet | Abbas, Aymen Fadhil Sheikh, Usman Ullah Haji Mohd., Mohd. Norzali |
| author_sort | Abbas, Aymen Fadhil |
| collection | ePrints |
| description | This paper presents a method for vehicle make and model recognition (MMR) in low lighting conditions. While many MMR methods exist in the literature, these methods are designed to be used only in perfect operating conditions. The various camera configuration, lighting condition, and viewpoints cause variations in image quality. In the presented method, the vehicle is first detected, image enhancement is then carried out on the detected front view of the vehicle, followed by features extraction and classification. The performance is then examined on a low-light dataset. The results show around 6% improvement in the ability of MMR with the use of image enhancement over the same recognition model without image enhancement. |
| first_indexed | 2024-03-05T20:51:23Z |
| format | Article |
| id | utm.eprints-90644 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T20:51:23Z |
| publishDate | 2020 |
| publisher | Institute of Advanced Engineering and Science |
| record_format | dspace |
| spelling | utm.eprints-906442021-04-30T14:48:25Z http://eprints.utm.my/90644/ Recognition of vehicle make and model in low light conditions Abbas, Aymen Fadhil Sheikh, Usman Ullah Haji Mohd., Mohd. Norzali TK Electrical engineering. Electronics Nuclear engineering This paper presents a method for vehicle make and model recognition (MMR) in low lighting conditions. While many MMR methods exist in the literature, these methods are designed to be used only in perfect operating conditions. The various camera configuration, lighting condition, and viewpoints cause variations in image quality. In the presented method, the vehicle is first detected, image enhancement is then carried out on the detected front view of the vehicle, followed by features extraction and classification. The performance is then examined on a low-light dataset. The results show around 6% improvement in the ability of MMR with the use of image enhancement over the same recognition model without image enhancement. Institute of Advanced Engineering and Science 2020-04 Article PeerReviewed application/pdf en http://eprints.utm.my/90644/1/UsmanUllahSheikh2020_RecognitionofVehicleMakeandModel.pdf Abbas, Aymen Fadhil and Sheikh, Usman Ullah and Haji Mohd., Mohd. Norzali (2020) Recognition of vehicle make and model in low light conditions. Bulletin of Electrical Engineering and Informatics, 9 (2). pp. 550-557. ISSN 2089-3191 http://dx.doi.org/10.11591/eei.v9i2.1865 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Abbas, Aymen Fadhil Sheikh, Usman Ullah Haji Mohd., Mohd. Norzali Recognition of vehicle make and model in low light conditions |
| title | Recognition of vehicle make and model in low light conditions |
| title_full | Recognition of vehicle make and model in low light conditions |
| title_fullStr | Recognition of vehicle make and model in low light conditions |
| title_full_unstemmed | Recognition of vehicle make and model in low light conditions |
| title_short | Recognition of vehicle make and model in low light conditions |
| title_sort | recognition of vehicle make and model in low light conditions |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/90644/1/UsmanUllahSheikh2020_RecognitionofVehicleMakeandModel.pdf |
| work_keys_str_mv | AT abbasaymenfadhil recognitionofvehiclemakeandmodelinlowlightconditions AT sheikhusmanullah recognitionofvehiclemakeandmodelinlowlightconditions AT hajimohdmohdnorzali recognitionofvehiclemakeandmodelinlowlightconditions |