Automatic accident detection using topic models

Automatic accident detection is one of the most important tasks for an intelligent transportation system (ITS). In this paper, a new framework for automated traffic accident recognition using topic models is proposed. This framework uses a set of visual features and automatically discovers the motion patterns in traffic scenes. Then, using these learned motion patterns, occurrence of an accident could be detected by various abnormality measures. Results on real video sequences collected from Tehran traffic control center confirm the effectiveness and the applicability of the proposed framework.