公开(公告)号：US20160125243A1

公开(公告)日：2016-05-05

申请号：US14886931

申请日：2015-10-19

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： KOJI ARATA ,  PONGSAK LASANG ,  SHENGMEI SHEN

IPC: G06K9/00 ,  G06T7/00 ,  G06K9/62 ,  G06K9/66

CPC classification number: G06K9/00624 ,  G06K9/00362 ,  G06K9/4628 ,  G06K9/469 ,  G06K9/6211 ,  G06K9/6218 ,  G06K9/66 ,  G06T7/73 ,  G06T2207/10012 ,  G06T2207/30196

Abstract: A human body part detection system includes: a learning mode storing unit storing a learning model; a depth image acquisition unit acquiring a depth image; a foreground human extraction unit extracting a human area; and a human body part detection unit detecting the human body part based on the human area and the learning model. The detection unit calculates a direction of a geodesic path at a first point based on a shortest geodesic path from a base point to a first point, selects a pixel pair at positions obtained after rotating positions of a pixel pair for calculation of the feature in the learning model in accordance with the direction, calculates a feature at the first point based on depth of the selected pair, and determines a label corresponding to the human body part based on the feature at the first point and learning model.

Abstract translation: 人体部位检测系统包括：存储学习模型的学习模式存储单元; 深度图像获取单元，获取深度图像; 提取人类区域的前景人体提取单元; 以及基于人类区域和学习模型来检测人体部位的人体部位检测部。 检测单元基于从基点到第一点的最短测地线计算第一点处的测地线路径的方向，在用于计算特征的像素对的旋转位置之后获得的位置处选择像素对 根据方向学习模型，基于所选择的对的深度计算第一点处的特征，并且基于第一点和学习模型的特征来确定与人体部分相对应的标签。