Cargando…
Video Abnormal Event Detection Based on One-Class Neural Network
Video abnormal event detection is a challenging problem in pattern recognition field. Existing methods usually design the two steps of video feature extraction and anomaly detection model establishment independently, which leads to the failure to achieve the optimal result. As a remedy, a method bas...
Autores principales: | Xia, Xiangli, Gao, Yang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8492267/ https://www.ncbi.nlm.nih.gov/pubmed/34621305 http://dx.doi.org/10.1155/2021/1955116 |
Ejemplares similares
-
Online Least Squares One-Class Support Vector Machines-Based Abnormal Visual Event Detection
por: Wang, Tian, et al.
Publicado: (2013) -
One-Class Convolutional Neural Networks for Water-Level Anomaly Detection
por: Nicholaus, Isack Thomas, et al.
Publicado: (2022) -
Sports Video Athlete Detection Based on Associative Memory Neural Network
por: Yang, Jingwei
Publicado: (2022) -
Detecting Anomaly Event in Video Based on Generative Adversarial Network
por: Zhang, Zhaoxian
Publicado: (2022) -
Abnormal Activity Recognition from Surveillance Videos Using Convolutional Neural Network
por: Habib, Shabana, et al.
Publicado: (2021)