earticle

영어

Automatic human fall detection based on video monitoring plays an important role in protecting vulnerable people especially the seniors whose falls could cause severe injuries and need attentions from others immediately. In this paper, an automatic human fall detection method based on human motion tracking and shape aspect ratio in real-time video is proposed. While most existing methods detect falls in homes, the proposed method is suitable for both outdoor and indoor environments. The method first detects human objects in general environment, then tracks their motions, meanwhile calculating and recording the motion characteristics of each person. Comparing with the existing fall detection method using shape aspect ratio, the proposed method has advantages of employing the shape aspect ratio together with the moving speed and direction to better detect human falls, as well as being able to detect falls toward different directions. Experiment results demonstrate that the proposed method can effectively detect human falls in general environments including outdoor places.