摘要
利用计算机视觉技术和图像处理技术在超市的出入口处进行人数统计。在行人统计相关研究中,一般分为行人目标提取和行人目标跟踪两个问题。行人目标提取的目的是找出图像中出现的行人,并且用椭圆圈出表示,并累加人数。行人跟踪统计部分受限将场景划分为三个区域,通过基于特征点的匹配和Mean Shift(均值漂移)算法持续跟踪进入场景的行人目标同时建立所跟踪目标的向量属性表,并记录其路径。
Uses computer vision technology and image processing technology in the supermarket at the entrance of people counting. In pedestrian statistical correlation research, generally fall into two pedestrians target extraction and the pedestrian tracking problem. Pedestrians in target extrac- tion and the purpose is to find images of pedestrian, and express with oval circle, and the accu- mulative toll. Pedestrian tracking statistics part limited can be divided into three regions, scene matching based on feature points and Mean Shift algorithm for tracking into scene pedestrian targets at the same time establish the target vector of attribute table, and record its path.
出处
《现代计算机》
2013年第16期30-35,共6页
Modern Computer
关键词
图像处理
人数统计
目标提取
目标跟踪
Image Processing
People Counting
Object Extraction
Target Tracking
