CAJ | 학술논문

针对传统的利用车牌先验信息后检测的方法受背景、分辨率、光照和车辆姿态影响较大的问题，提出了一种基于可变形部件模型的车牌检测方法。该方法首先提取车牌样本的HOG特征，分别获取根滤波器模型和部件滤波器模型，融合后得到最终的检测模型；然后计算待检测图像的HOG特征，用检测模型分别计算根滤波器的得分和部件部件滤波器的得分；最后将根滤波器的得分与进行距离变换之后的部件滤波器的得分相加，根据相加后的结果确定车牌的真实位置。实验结果表明，该方法能够准确检测出车牌位置，能应用于各种复杂背景、低分辨率、恶劣光照和任意车辆姿态的环境中，具有一定的实用价值。
침대전통적이용차패선험신식후검측적방법수배경、분변솔、광조화차량자태영향교대적문제，제출료일충기우가변형부건모형적차패검측방법。해방법수선제취차패양본적HOG특정，분별획취근려파기모형화부건려파기모형，융합후득도최종적검측모형；연후계산대검측도상적HOG특정，용검측모형분별계산근려파기적득분화부건부건려파기적득분；최후장근려파기적득분여진행거리변환지후적부건려파기적득분상가，근거상가후적결과학정차패적진실위치。실험결과표명，해방법능구준학검측출차패위치，능응용우각충복잡배경、저분변솔、악렬광조화임의차량자태적배경중，구유일정적실용개치。
While the traditional plate detection methods based on the license plates' prior information are greatly influenced by the background, resolution, light and vehicle attitudes, a license plate detection method based on deformable part model is presented. First, the method extracted the license plates' HOG features, and used the features to train a root filter and several part filters, and then got a detection model. Second, the method calculated the HOG features of images to be detected, and used the detection model to cal-culate the root filter's score and the part filters' score separately;Finally, the method processed the part filters' score based on distance transform, and then added to the root filter's score, and the real plate position was gained based on the final score. The experimental re-sults show that the method can accurately gain the license plate's location, and can be applied to various scenarios such as complex background, low resolution, bad light and any vehicle attitudes, so the method has a certain practical value.