CAJ | 학술논문

针对交通视频序列中的多车辆检测问题,提出了基于边缘检测的随机游走算法对多车辆视频进行精确车辆检测.首先利用背景差分结合边缘信息来检测运动车辆区域,针对粘连车辆问题提出了利用检测车辆区域的骨架结构自动完成有效的标记点的提取,把像素标记点作为随机游走算法中目标的种子点;利用种子点对多车辆进行随机游走分割.实现车辆自动检测.
침대교통시빈서렬중적다차량검측문제,제출료기우변연검측적수궤유주산법대다차량시빈진행정학차량검측.수선이용배경차분결합변연신식래검측운동차량구역,침대점련차량문제제출료이용검측차량구역적골가결구자동완성유효적표기점적제취,파상소표기점작위수궤유주산법중목표적충자점;이용충자점대다차량진행수궤유주분할.실현차량자동검측.
In the light of the detection of multiple vehicles in the traffic video sequence the paper presents an edge detection based random walk algorithm for accurately detecting and segmenting the multiple vehicles in the video. First, the regions of the moving vehicles are detected by the background differences and the edge information, and the skeleton structures are extracted from the detected vehicle regions. Secondly, the effective pixel markers, which are obtained from the skeleton structures, are taken as the object seeds in the random walk algorithm. Finally, the automatic detection of the vehicles is realized by using seeds to segment multiple vehicles in a random walk way.