High Accuracy and Real Time Recognition of Human Activities
Joo Kooi Tan, Seiji Ishikawa · 2007
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 employJKMotiondatabaseand an eigenspace method. A motion/activity obtained from a camera is expressed by a point.Mmotions obtained fromPcameras are therefore described byMtimesPpoints 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.