Spatiotemporal Deformable Prototypes for Motion Anomaly Detection
Spatiotemporal Deformable Prototypes for Motion Anomaly Detection
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Contents
This paper presents an approach for motion-based anomaly detection, where a prototype pattern is detected and elastically registered against a test sample to detect anomalies in the test sample. The prototype model is learned from multiple sequences to define accepted variations. “Supertrajectories” based on hierarchical clustering of dense point t...
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Full title
Spatiotemporal Deformable Prototypes for Motion Anomaly Detection
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TN_cdi_proquest_miscellaneous_1904214501
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1904214501
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ISSN
0920-5691
E-ISSN
1573-1405
DOI
10.1007/s11263-016-0934-1
