Human posture recognition by simple rules

被引：8

作者：

Chien-Cheng Li ^{[1
]}

Yung-Yaw Chen ^{[1
]}

机构：

[1] Natl Taiwan Univ, Dept Elect Engn, Taipei, Taiwan

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS | 2006年

关键词：

D O I：

10.1109/ICSMC.2006.384616

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recognition of human posture for home care system is studied in this paper. Home care system is to determine whether man is in danger or not by image of video and the emergent signal will be sent to hospital and family if man is in danger. Computer vision is a popular toot to solve this kind of problem. The human silhouette is an useful information for the purpose of recognition of human posture and it can be separated from video by imaging process [1]. There is an assumption that the human silhouette has been obtained in this research. In this paper, human posture will be classified as stand, sit, kneel, and stoop by some parameters and simple rules. It is a real time system if using this method and the correct rate exceeds in 90%.

引用

页码：3237 / +

页数：2

共 4 条

[1] Efficient moving object segmentation algorithm using background registration technique [J].