Human action recognition using three orthogonal planes with unsupervised deep convolutional neural network
Author:
Funder
Majmaah University
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-10636-2.pdf
Reference59 articles.
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2. Abdelbaky A, Aly S (2020) Human action recognition using short-time motion energy template images and PCANet features. Neural Comput Applic 32 (16):12561–12574. https://doi.org/10.1007/s00521-020-04712-1
3. Abdelbaky A, Aly S (2020) Two-stream spatiotemporal feature fusion for human action recognition. Vis Comput, pp 1–15. https://doi.org/10.1007/s00371-020-01940-3
4. Ahmad M, Lee SW (2008) Human action recognition using shape and clg-motion flow from multi-view image sequences. Pattern Recogn 41(7):2237–2252
5. Aly S, Aly W (2020) DeepArSLR: A novel signer-independent deep learning framework for isolated arabic sign language gestures recognition. IEEE Access 8:83199–83212
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