Slip and Fall Events Detection by Analyzing the Integrated Spatiotemporal Energy Map

Abstract

This paper presents a new method to detect slip and fall events by analyzing the integrated spatiotemporal energy (ISTE) map. ISTE map 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. This work assumes that the person lies on the ground with very little motion after the fall accident. Experimental results show that our method is effective for fall and slip detection.