Abstract
Fall and slip of the elderly are the main concerns for home care or day care center. We proposed a method to detect a slip event and a fall event by computing integrated spatiotemporal energy (ISTE) map that includes motion and time of motion occurrence as our motion feature. The extracted human shape is represented by an ellipse that provides crucial information of human motion activities. We use this features to detect the events in the video with non-fixed frame rate. In this work, we assume that the person is on the ground with no or little motion after the fall accident. Our experiments are demonstrated in the indoor and the outdoor scenes, where the illuminate condition varies. So the threshold of the background subtraction and the parameters of the smoothing filter are adjusted independently. Experimental results show that our method is effective for fall and slip detection. The total number of testing frames is about, and we use an Intel Core2 Duo 1.8GHz CPU on a Microsoft Windows XP operating system.