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

作者：Jiang Fan^*; Wu Ying; Katsaggelos Aggelos K

来源：IEEE Transactions on Image Processing, 2009, 18(4): 907-913.

DOI：10.1109/TIP.2008.2012070

• Event detection
• unsupervised clustering
• video surveillance

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.

• 出版日期2009-4
• 单位西北大学