An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos

Video anomaly detection is widely applied in modern society, which is achieved by sensors such as surveillance cameras. This paper learns anomalies by exploiting videos under the fully unsupervised setting. To avoid massive computation caused by back-prorogation in existing methods, we propose a nov...

Descripción completa

Detalles Bibliográficos
Autores principales: Hu, Jingtao, Zhu, En, Wang, Siqi, Liu, Xinwang, Guo, Xifeng, Yin, Jianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806243/
https://www.ncbi.nlm.nih.gov/pubmed/31554333
http://dx.doi.org/10.3390/s19194145

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806243/
https://www.ncbi.nlm.nih.gov/pubmed/31554333
http://dx.doi.org/10.3390/s19194145

Ejemplares similares