Future Frame Prediction Network for Human Fall Detection in Surveillance Videos

Video fall detection is one of the most significant challenges in computer vision domain, and it usually involves the recognition of events that do not conform to expected falls. Recently, a majority of unsupervised models are popular to address issues that call for substantial manual labeled traini...

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Veröffentlicht in:	IEEE sensors journal 2023-07, Vol.23 (13), p.1-1
Hauptverfasser:	Li, Suyuan, Song, Xin
Format:	Artikel
Sprache:	eng
Schlagworte:	attention gate Cameras Computer vision Datasets Errors Fall detection Feature extraction Frames (data processing) Machine learning Neural networks Optical flow prediction network Predictions Reconstruction Sensors Supervised learning Training U-Net Videos Wearable sensors
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