An Approach to Detect Anomaly in Video Using Deep Generative Network
Anomaly detection in the video has recently gained attention due to its importance in the intelligent surveillance system. Even though the performance of the state-of-art methods has been competitive in the benchmark dataset, the trade-off between the computational resource and the accuracy of the a...
Guardado en:
Autores principales: | Savath Saypadith, Takao Onoye |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/106c733f24d94516a46ccfc178e106ca |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Machine Learning in Network Anomaly Detection: A Survey
por: Song Wang, et al.
Publicado: (2021) -
Automated Multidimensional Analysis of Global Events With Entity Detection, Sentiment Analysis and Anomaly Detection
por: Fahim K. Sufi, et al.
Publicado: (2021) -
E-SFD: Explainable Sensor Fault Detection in the ICS Anomaly Detection System
por: Chanwoong Hwang, et al.
Publicado: (2021) -
Detect Adversarial Attacks Against Deep Neural Networks With GPU Monitoring
por: Tommaso Zoppi, et al.
Publicado: (2021) -
Self-Supervised Learning for Anomaly Detection With Dynamic Local Augmentation
por: Seungdong Yoa, et al.
Publicado: (2021)