Trajectory clustering using affinity propagation with trajectory entropy descriptor

Trajectories are useful features for detecting abnormal events in surveillance videos. This paper proposes a trajectory clustering method using affinity propagation with a trajectory entropy descriptor. The trajectory entropy descriptor captures the statistical properties of trajectories, and affinity propagation provides an effective clustering approach. The method is validated on trajectory clustering tasks in surveillance scenarios.