Fall detection algorithm based on pyramid network and feature fusion
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province
Colleges and Universities Twenty Terms Foundation of Jinan City
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12530-024-09601-9.pdf
Reference38 articles.
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2. Amsaprabhaa M (2022) Multimodal spatiotemporal skeletal kinematic gait feature fusion for vision-based fall detection. Expert Syst Appl 212:118681–118695. https://doi.org/10.1016/j.eswa.2022.118681
3. Beddiar DR, Oussalah M, Nini B (2022) Fall detection using body geometry and human pose estimation in video sequences. J Vis Commun Image Represent 82:103407–103419. https://doi.org/10.1016/j.jvcir.2021.103407
4. Belhadi A, Djenouri Y, Djenouri D et al (2020) A recurrent neural network for urban long-term traffic flow forecasting. Appl Intell 50(10):3252–3265. https://doi.org/10.1007/s10489-020-01716-1
5. Cao Z, Simon T, Wei SE et al (2017) Realtime multi-person 2d pose estimation using part affinity fields. In: 2017 IEEE conference on computer vision and pattern recognition (CVPR), pp 1302–1310
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