Learning Human Postures Using Lab-Depth HOG Descriptors
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-41456-5_42
Reference29 articles.
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2. Amine Elforaici, M.E., Chaaraoui, I., Bouachir, W., Ouakrim, Y., Mezghani, N.: Posture recognition using an RGB-D camera: exploring 3D body modeling and deep learning approaches. In: 2018 IEEE Life Sciences Conference (LSC), pp. 69–72 (2018). https://doi.org/10.1109/LSC.2018.8572079
3. Ayre-Storie, A., Zhang, L.: Deep learning-based human posture recognition. In: 2021 International Conference on Machine Learning and Cybernetics (ICMLC), pp. 1–6 (2021). https://doi.org/10.1109/ICMLC54886.2021.9737241
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5. Cai, Y., Wang, X., Kong, X.: 3D human pose estimation from RGB+D images with convolutional neural networks. In: Proceedings of the 2nd International Conference on Biomedical Engineering and Bioinformatics, ICBEB 2018, pp. 64–69. Association for Computing Machinery, New York (2018). https://doi.org/10.1145/3278198.3278225
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