Incident Detection at Intersections Utilizing Hidden Markov Model
نویسندگان
چکیده
The number of deaths and injuries from traffic accidents has been rapidly increasing. Most of those accidents occur at and nearby intersections. It is very important to detect accidents automatically, and to rescue injuries quickly. This effort will be effective to decrease deaths and to ease traffic jams. In order to analyze those accident events, we set up a video camera and recorded those traffic activities all day. In this paper, we describe this traffic monitoring system, the method for tracking vehicles, and the method for detecting accidents by using the Hidden Markov model. Finally, we will demonstrate our success by presenting the experimental results achieved by applying this method to video sequences of two different real accidents.
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