A new approach of anomaly detection in shopping center surveillance videos for theft prevention based on RLCNN model

The amount of video data produced daily by today’s surveillance systems is enormous, making analysis difficult for computer vision specialists. It is challenging to continuously search these massive video streams for unexpected accidents because they occur seldom and have little chance of being obse...

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Principais autores:	Muhammad Sajid, Ali Haider Khan, Kaleem Razzaq Malik, Javed Ali Khan, Ayed Alwadain
Formato:	Artigo
Idioma:	Inglês
Publicado em:	PeerJ Inc. 2025-06-01
Colecção:	PeerJ Computer Science
Assuntos:	Human activities CNN-LSTM Surveillance Anomaly detection UCF datasets RLCNN
Acesso em linha:	https://peerj.com/articles/cs-2944.pdf
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