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Petrocchi et al., 2021 - Google Patents

A real-time deep learning approach for real-world video anomaly detection

Petrocchi et al., 2021

Document ID
3483943556171900864
Author
Petrocchi S
Giorgi G
Cimino M
Publication year
Publication venue
Proceedings of the 16th International Conference on Availability, Reliability and Security

External Links

Snippet

Anomaly detection in video streams with imbalanced data and real-time constraints is a challenging task of computer vision. This paper proposes a novel real-time approach for real- world video anomaly detection exploiting a supervised learning methodology. In particular …
Continue reading at dl.acm.org (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
    • G06K9/00778—Recognition or static of dynamic crowd images, e.g. recognition of crowd congestion
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    • G06K9/6279—Classification techniques relating to the number of classes
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    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
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    • G—PHYSICS
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    • G08B13/19639—Details of the system layout
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