High Accuracy and Real Time Recognition of Human Activities

Automatic recognition of human motions or activities employing a camera and computer system has been one of the main topics in computer vision. In this paper, we propose a method of recognizing human activities/motions employing multiple cameras that surround a human in motion. For the recognition, we employ JK Motion database and an eigenspace method. A motion/activity obtained from a camera is expressed by a point. M motions obtained from P cameras are therefore described by MtimesP points in the eigenspace. Comparison of the proposed technique with other techniques is done. Experimental results of applying our approach to six motions with four observation cameras in the real world are given to demonstrate the effectiveness of the proposed technique.