公开(公告)号：KR100865531B1

公开(公告)日：2008-10-29

申请号：KR1020070054261

申请日：2007-06-04

Applicant: (주)유디피

Inventor： 한준희 ,  남운현

IPC: H04N7/18 ,  H04N5/262 ,  H04N7/24

CPC classification number: G06T7/194 ,  G06K9/00369

Abstract: A method for separating individual pedestrians by clustering foreground pixels is provided to separate the discrete pedestrian accurately even though pedestrians can be overlapped in the foreground image by grouping each pixel about the foreground image to a plurality of groups and effectively merging and removing groups. A method for separating individual pedestrians by clustering foreground pixels relates to the method for separating the discrete pedestrian from the source image. More particularly, it is about the discrete pedestrian separation method by the grouping of the foreground pixel separating discrete pedestrians from foreground pixels separated from the source image for the behavioral analysis of pedestrian. Each pixel of the source image is classified into the background pixel and foreground pixel. And the foreground image comprising the silhouette image of the pedestrians with a plurality of foreground pixels is produced(S101). Each pixel comprising the foreground image is grouped to one or more groups of each pedestrian unit. A plurality of groups overlappingly mapped on one discrete pedestrian is merged. And after error groups which are not included in the discrete pedestrian are removed, the discrete pedestrian is distinguished(S103).

Abstract translation: 提供了通过聚类前景像素来分离个体行人的方法，即使行人可以通过将前景图像周围的每个像素分组到多个组并且有效地合并和移除组来重叠在前景图像中来精确地分离离散步行者。 通过聚类前景像素分离个体行人的方法涉及将离散行人与源图像分开的方法。 更具体地，关于离散行人分离方法，通过将离散行人与从源图像分离的前景像素分开的前景像素的分组用于行人的行为分析。 源图像的每个像素被分类为背景像素和前景像素。 产生包括具有多个前景像素的行人的轮廓图像的前景图像（S101）。 包括前景图像的每个像素被分组到每个行人单元的一个或多个组。 在一个离散行人上重叠映射的多个组合被合并。 并且在不包括在离散行人中的错误组之后，区分离散行人（S103）。