발간년도 : [2017]
| 논문정보 |
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| 논문명(한글) |
[Vol.12, No.3] A Study on Vehicle Information Extraction from Night Vehicle Image |
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| 논문투고자 |
Byung-Tae Chun |
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| 논문내용 |
Recently, research on the extraction of vehicle information has been actively conducted. Vehicle information has many applications such as unmanned management system, and most of the methods of vehicle information collection are non-contact method. In this paper, we propose a method to extract headlight area information and license plate area information. After the binarization is performed on the whole image, the large area is extracted to the headlight area through the condition check. The license plate area extraction method consists of two stages: a license plate candidate region extraction step and a vehicle candidate region verification step. The license plate candidate region binarizes the boundary detection result and extracts the clustered region as a candidate region. The extracted candidate region of the vehicle is reduced by considering the position of the headlight and the region of the license plate is extracted by using the candidate region verification method in the reduced range. Experimental results show that the detection results of the vehicle headlight area and the license plate area are good. The extracted headlight area can be utilized in the search for illegal headlights in the future. |
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