Video anomaly detection system using deep convolutional and recurrent models

  1. Qasim, M.
  2. Verdu, E.
Revue:
Results in Engineering

ISSN: 2590-1230

Année de publication: 2023

Volumen: 18

Type: Article

DOI: 10.1016/J.RINENG.2023.101026 GOOGLE SCHOLAR lock_openAccès ouvert editor

Objectifs de Développement Durable