A Kalman Variational Autoencoder Model Assisted by Odometric Clustering for Video Frame Prediction and Anomaly Detection

The combination of different sensory information to predict upcoming situations is an innate capability of intelligent beings. Consequently, various studies in the Artificial Intelligence field are currently being conducted to transfer this ability to artificial systems. Autonomous vehicles can part...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on image processing 2023-01, Vol.32, p.415-429
Hauptverfasser:	Slavic, Giulia, Alemaw, Abrham Shiferaw, Marcenaro, Lucio, Martin Gomez, David, Regazzoni, Carlo
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Anomaly detection Artificial intelligence Bayesian analysis Clustering Data models Decoding Deep learning Kalman filter Kalman filters linear prediction models Machine learning multi-modality Odometers Predictive models Random variables Variational autoencoder Vehicle dynamics
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!