Human Behavior Segmentation and Recognition Using a Single-camera

In recent years, elderly people living alone account for a large proportion of the elderly population, and the issue of safety has also been a matter of great concern for the public.Considering the importance of monitoring the behavior and activities of the elderly and detecting abnormal movements, this paper proposes a method that can segment human behavior into each action and identify the action from the videos taken by a single camera.It uses features that can represent the shape of the human area in the depth direction, as well as the features such as motion direction and speed.The performance and effectiveness of the method are verified by experiments.