利用七宫格的遮挡车辆凹性检测与分割  

Detection and segmentation of occluded vehicles based on seven grids

作　　者：刘万军[1] 陈虹宇[1] 姚雪[1] 曲海成[1] 

机构地区：[1]辽宁工程技术大学软件学院,葫芦岛125105

出　　处：《中国图象图形学报》2014年第1期45-53,共9页Journal of Image and Graphics

基　　金：国家自然科学基金项目(61172144)

摘　　要：目的交通场景中车辆间的距离过近或相互遮挡容易造成识别上的粘连,增加了准确检测目标车辆的难度,因此需要建立有效、可靠的遮挡车辆分割机制。方法首先在图像分块的基础上确定出车辆区域,根据车辆区域的长宽比和占空比进行多车判断;然后提出了一种基于七宫格的凹陷区域检测算法,用以找出车辆间的凹陷区域,通过匹配对应的凹陷区域得到遮挡区域;最后,将遮挡区域内检测出的车辆边缘轮廓作为分割曲线,从而分割遮挡车辆。结果实验结果表明,在满足实时性的前提下算法具有较高的识别率,且能够按车辆的边缘轮廓准确分割多个相互遮挡的车辆。与其他算法相比,该算法提高了分割成功率和分割精度,查全率和查准率均可达到90%。结论本文新的遮挡车辆分割算法,有效解决了遮挡车辆不宜分割和分割不准确的问题,具有较强的适应性。Objective Intelligent transportation is a service system based on the modem electronic information technology for transportation. With the development of intelligent traffic system, video surveillance technology is often used in this area. While using the video surveillance system to detect the traffic scene, the false detections often occur when two or more vehi- cles approaches each other. This phenomenon increases the difficulty of vehicle detection. To overcome this problem, it is necessary to establish a reliable, practical splitting mechanism for the occluded vehicles. Further more, we proposed a new identification and segmentation algorithm for occluded vehicles. Method In order to obtain the moving areas, we use the background differencing to detect the current image. Meanwhile, t shadow areas need to eliminated. We use a shadow de- tection algorithm that is based on the HSV space features. Then, the image is divided into blocks to reduce the processing time. We use the width/height ratio and occupancy ratio to judge whether a moving area contains one or more vehicles. To find out the recessed area between vehicles, a new algorithm called the ＂seven grids＂ is presented. The new ＂seven grids＂ algorithm is a matrix of seven rows and seven columns. First, the recessed area detection algorithm calculates the edge of the vehicle regions. Then it uses the ＂seven grids＂ to traverse all the edges, puts the detected point at the center of the ＂seven grids＂ and determines for each point whether it is a concave point. At last, it determines the recessed areas based on the concave points, and finds the occluded areas between vehicles by matching the corresponding recessed areas. At the same time, there are some differences about the color and brightness between different vehicles. This situation is more obvious when the occlusion phenomenon exists between vehicles. Therefore, we use the algorithm for edge detection todetect these occluded areas. To identify edges of vehicles which are regarded as segm

关 键 词：凹性分析 七宫格 凹陷区域 遮挡区域 车辆分割 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]