title: A dynamic hierarchical clustering method for trajectory-based unusual video event detection.
abstract: The proposed unusual video event detection method is based on unsupervised clustering of object trajectories, which are modeled by hidden Markov models (HMM). The novelty of the method includes a dynamic hierarchical process incorporated in the trajectory clustering algorithm to prevent model overfitting and a 2-depth greedy search strategy for efficient clustering.
authors.forename: Fan
authors.initials: F
authors.lastname: Jiang
authors.forename: Ying
authors.initials: Y
authors.lastname: Wu
authors.forename: Aggelos K
authors.initials: AK
authors.lastname: Katsaggelos