A Novel Unsupervised Video Anomaly Detection Framework Based on Optical Flow Reconstruction and Erased Frame Prediction.

Huang, Heqing; Zhao, Bing; Gao, Fei; Chen, Penghui; Wang, Jun; Hussain, Amir

Huang, Heqing; Zhao, Bing; Gao, Fei; Chen, Penghui; Wang, Jun; Hussain, Amir.

Afiliação

Huang H; School of Electronic and Information Engineering, Beihang University, Beijing 100190, China.
Zhao B; Inspur Electronic Information Industry Co., Ltd., Beijing 100085, China.
Gao F; School of Electronic and Information Engineering, Beihang University, Beijing 100190, China.
Chen P; Beihang Hangzhou Innovation Institute Yuhang, Xixi Octagon City, Yuhang District, Hangzhou 310023, China.
Wang J; School of Electronic and Information Engineering, Beihang University, Beijing 100190, China.
Hussain A; School of Electronic and Information Engineering, Beihang University, Beijing 100190, China.

Sensors (Basel) ; 23(10)2023 May 17.

Article em En | MEDLINE | ID: mdl-37430742

Palavras-chave

incomplete event; optical flow; video anomaly detection

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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