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- W4243295086 abstract "Abnormal event detection has attracted great research attention in video surveillance. In this paper, the authors presented a robust method of trajectories clustering for abnormal event detection. This method is based on two layers and benefits from two well-known clustering algorithms: the agglomerative hierarchical clustering and the k-means clustering. Facing to the challenges related to the trajectories, e.g., different sizes, the authors introduce a preprocessing step to unify their sizes and reduce their dimensionality. The experimental results show the performance and accuracy of their proposed method." @default.
- W4243295086 created "2022-05-12" @default.
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- W4243295086 date "2019-01-01" @default.
- W4243295086 modified "2023-09-26" @default.
- W4243295086 title "Clustering Based on Two Layers for Abnormal Event Detection in Video Surveillance" @default.
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- W4243295086 doi "https://doi.org/10.4018/978-1-5225-7113-1.ch024" @default.
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