Coupled Hidden Markov Model for video fall detection

Falls are a most common problem for old people. They can result in dangerous consequences even death. Many recent works have presented different approaches to detect fall and prevent dangerous outcomes. In this paper, we propose a coupled Hidden Markov Model (CHMM) for human fall detection from video streams. We use CHMM to model the motion and static spatial characteristic of human silhouette.