Human Posture Recognition by Simple Rules

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 tool 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. 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%.

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