An efficient deep neural model for detecting crowd anomalies in videos

journal contribution

posted on 2023-02-13, 05:24 authored by M Yang, S Tian, AS Rao, Sutharshan RajasegararSutharshan Rajasegarar, M Palaniswami, Z Zhou

An efficient deep neural model for detecting crowd anomalies in videos

History

Journal

Applied Intelligence

Volume

53

Pagination

15695-15710

Publisher DOI

https://doi.org/10.1007/s10489-022-04233-5

ISSN

0924-669X

eISSN

1573-7497

Language

English

Author URL

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000888707700003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

Issue

12

Publisher

SPRINGER

Publication URL

http://dx.doi.org/10.1007/s10489-022-04233-5

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Categories

Artificial intelligence not elsewhere classified

Keywords

ACTION RECOGNITION Anomaly detection Computer Science Computer Science, Artificial Intelligence Crowd behavior EVENT DETECTION Late fusion Motion features REAL-TIME Science & Technology Technology Video surveillance

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All Rights Reserved

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