CAJ | 학술논문

由于视频蕴含丰富的信息,视频监控与检测技术在ITS中应用得越来越广泛.视频测量交通参数,需要从序列图像分割出车辆.车辆分割面临的一个难点就是检测与车辆连在一起的阴影.由于阴影在很多特性上与车辆一致,阴影经常被当成车辆一部分,影响车辆分割的稳定性与准确性.一般地,路面与车辆在纹理结构上存在较大的差异.文中推导了纹理在光照变化情况下的一种不变特性--极点分布,并提出了一个基于极点分布不变性的车辆阴影检测算法.这种算法能够精确地检测视频图像车辆的阴影,检测出因各种原因被误为车辆的路面,检测出车灯照射产生的路面亮斑,从而为车辆的精确分割和交通参数测量创造有利条件.
유우시빈온함봉부적신식,시빈감공여검측기술재ITS중응용득월래월엄범.시빈측량교통삼수,수요종서렬도상분할출차량.차량분할면림적일개난점취시검측여차량련재일기적음영.유우음영재흔다특성상여차량일치,음영경상피당성차량일부분,영향차량분할적은정성여준학성.일반지,로면여차량재문리결구상존재교대적차이.문중추도료문리재광조변화정황하적일충불변특성--겁점분포,병제출료일개기우겁점분포불변성적차량음영검측산법.저충산법능구정학지검측시빈도상차량적음영,검측출인각충원인피오위차량적로면,검측출차등조사산생적로면량반,종이위차량적정학분할화교통삼수측량창조유리조건.
Video-based surveillance and measuring have been employed more and more widely in ITS (Intelligent Transportation System) because of the rich information content contained in video.The vehicles need to be segmented from the video images to measure traffic parameters.Because of the similarities between the vehicles and their shadow,shadow is often segmented as vehicles.This paper derived an invariance property of texture-extremum distribution in changed illumination environment and presented a novel method for detecting shadow based on the extremum distribution invariance.This method can detect and remove the shadow of vehicles and the light spot caused by vehicle lamp or the other road surface accurately and can be performed fast and is insensitive to the illumination varities.