A dynamic hierarchical clustering method for trajectory-based unusual video event detection.
Where this comes from
- Record sourced from PubMed, PMID 19273049.
- Also identified by DOI 10.1109/TIP.2008.2012070.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
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.