Clustering Based on Two Layers for Abnormal Event Detection in Video Surveillance
2017 ◽
Vol 5
(4)
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pp. 1-18
Keyword(s):
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.
Keyword(s):
2021 ◽
Vol 8
(10)
◽
pp. 43-50
2013 ◽
Vol 46
(3)
◽
pp. 562-576
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Keyword(s):
2017 ◽
Vol 78
(3)
◽
pp. 3633-3647
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