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A Dynamic Hierarchical Clustering Method for Trajectory-Based Unusual Video Event Detection

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3 Author(s)
Jiang, Fan ; Electr. Eng. & Comput. Sci. Dept., Northwestern Univ., Evanston, IL ; Ying Wu ; Katsaggelos, A.K.

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.

Published in:

Image Processing, IEEE Transactions on  (Volume:18 ,  Issue: 4 )