Visual perception enhancement fall detection algorithm based on vision transformer

Fall detection is a crucial research topic in public healthcare. With advances in intelligent surveillance and deep learning, vision-based fall detection has gained significant attention. While numerous deep learning algorithms prevail in video fall detection due to excellent feature processing capa...

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Veröffentlicht in:	Signal, image and video processing Jg. 19; H. 1; S. 18
Hauptverfasser:	Cai, Xi, Wang, Xiangcheng, Bao, Kexin, Chen, Yinuo, Jiao, Yin, Han, Guang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.01.2025 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Computer Imaging Computer Science Deep learning Design Efficiency Fall detection Image Processing and Computer Vision Machine learning Multimedia Information Systems Neural networks Original Paper Pattern Recognition and Graphics Signal,Image and Speech Processing Time series Vision Visual perception Visual perception driven algorithms Deep learning Computer vision Vision transformer Attention mechanism Fall detection
ISSN:	1863-1703, 1863-1711
Online-Zugang:	Volltext
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