Features selection in video fall detection

Falls are a common problem for old people. They can result in dangerous consequences even death. Therefore, automatic tools for fall detection using camera vision can be very useful for helping the elderly. These methods are based on analyzing extracted features. Different features are used such as vertical and horizontal gradient, motion history of image, shape analysis and posture. In this paper, we try to do an investigation of many proposed methods for the fall detection and compare their performances.