Vision-based Fall Detection with Multi-task Hourglass Convolutional Auto-encoder

Fall detection is a hot research issue in intelligent video surveillance. Falls can generate physical and psychological damage, especially for the elderly. Different from most conventional vision-based fall detection methods typically relying on hand-crafted features, fall detection methods based on...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE access 2020-01, Vol.8, p.1-1
Hauptverfasser:	Cai, Xi, Li, Suyuan, Liu, Xinyue, Han, Guang
Format:	Artikel
Sprache:	eng
Schlagworte:	Coders deep learning Fall detection Feature extraction Head hourglass convolutional auto-encoder (HCAE) hourglass residual unit Machine learning Magnetic heads multi-task mechanism Senior citizens Sensors Task analysis Vision
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!