TRASMIL: A local anomaly detection framework based on trajectory segmentation and multi-instance learning

Publisher:
Academic Press Inc Elsevier Science
Publication Type:
Journal Article
Citation:
Computer Vision And Image Understanding, 2013, 117 (10), pp. 1273 - 1286
Issue Date:
2013-01
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Local anomaly detection refers to detecting small anomalies or outliers that exist in some subsegments of events or behaviors. Such local anomalies are easily overlooked by most of the existing approaches since they are designed for detecting global or l
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