CAJ | 학술논문

为了有效地定位交通监控图像中的车辆区域,提出了一种基于车辆轮廓对称和车牌定位信息融合的车辆检测方法.该方法首先检测图像中的车辆轮廓竖直对称轴,然后以车辆轮廓对称轴位置为基准检测车牌水平和竖直对称轴,最后根据车牌横纵对称轴和车辆轮廓图像的水平、竖直投影进行车辆区域定位.以450张15类车型的图片为测试集进行了基于对称特征融合的车辆区域检测,并与基于车辆边缘、车牌、车辆纹理特征和车辆图像Gabor特征的4种方法进行了对比,实验结果表明基于车辆轮廓对称与车牌对称特征融合的车辆区域检测方法最优,其检测率和检测时间分别为90.7％和125 ms.
위료유효지정위교통감공도상중적차량구역,제출료일충기우차량륜곽대칭화차패정위신식융합적차량검측방법.해방법수선검측도상중적차량륜곽수직대칭축,연후이차량륜곽대칭축위치위기준검측차패수평화수직대칭축,최후근거차패횡종대칭축화차량륜곽도상적수평、수직투영진행차량구역정위.이450장15류차형적도편위측시집진행료기우대칭특정융합적차량구역검측,병여기우차량변연、차패、차량문리특정화차량도상Gabor특정적4충방법진행료대비,실험결과표명기우차량륜곽대칭여차패대칭특정융합적차량구역검측방법최우,기검측솔화검측시간분별위90.7％화125 ms.
An efficient vehicle detection approach is proposed for traffic surveillance images,which is based on information fusion of vehicle symmetrical contour and license plate position.The vertical symmetry axis of the vehicle contour in an image is first detected,and then the vertical and the horizontal symmetry axes of the license plate are detected using the synnetry axis of the vehicle contour as a reference.The vehicle location in an image is determined using license plate symmnetry axes and the vertical and the horizontal projection maps of the vehicle edge image. A dataset consisting of 450 images ( 15 classes of vehicles) is used to test the proposed method.The experimental results indicate that compared with the vehicle contour-based,the license plate location-based,the vehicle texture-based and the Gabor feature-based methods,the proposed method is the best with a detection accuracy of 90.7％ and an elapsed time of 125 ms.