Fast Human Posture Recognition by Heuristic Rules

• Main Authors: Chien-Cheng Li, 李乾丞
• Other Authors: Yung-Yaw Chen
• Format: Others
• Language: en_US
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/59006791320760585406

碩士 === 國立臺灣大學 === 電機工程學研究所 === 94 === Recognition of human activities has become a popular research in recent years, especially in the field of computer vision. There are many applications, like virtual reality, human-computer interface, surveillance systems, and human actions analysis. There are two aspects about recognition of human activities: how to get the information of human activities and representation of human motion. The difficulties of gathering information of human activities are to extract human body characteristics from the complex image. The challenge of representing human motion is how to utilize the collected human information to recognize the complicated and varied human motions. This thesis mainly focuses on the representation of human postures and supplies a methodology of human postures recognition for home-care system. This thesis assumes that the human silhouette would be got and the human silhouette is complete, though the background subtraction is used in this thesis. The methodology of human posture recognition is to search and create the relation between human silhouette and result of recognition. The relation of this thesis is parameters and simple rules. Parameters and rules mean the characteristics of human postures. To raise the correct recognition rate and to achieve a real time system are two goals in our research. In the later chapter of this thesis, there are some results to prove that these two goals are achieved in this thesis.