On Mobile Pose Estimation and Action Recognition Design and Implementation
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Published:2024-03
Issue:1
Volume:34
Page:126-136
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ISSN:1054-6618
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Container-title:Pattern Recognition and Image Analysis
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language:en
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Short-container-title:Pattern Recognit. Image Anal.
Publisher
Pleiades Publishing Ltd
Reference44 articles.
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2014 (IEEE, 2014), pp. 3686–3693. https://doi.org/10.1109/CVPR.2014.471 2. S. I. Anishchenko, V. A. Osinov, and D. G. Shaposhnikov, “Assessment of human head pose in human-computer interaction,” Pattern Recognit. Image Anal. 22, 541–545 (2012). https://doi.org/10.1134/s1054661812040025 3. M. Aslanyan, “On mobile pose estimation design and implementation,” in Proc. Computer Science and Information Technologies 2023 Conf. (Institute for Informatics and Automation Problems, Yerevan, 2023), pp. 124–128. https://doi.org/10.51408/csit2023_26 4. R. Bohush, G. Ma, Ya. Weichen, and S. Ablameyko, “Object detection in video surveillance based on multiscale frame representation and block processing by a convolutional neural network,” Pattern Recognit. Image Anal. 32, 1–10 (2022). https://doi.org/10.1134/s1054661822010035 5. M. Dantone, J. Gall, C. Leistner, and L. Van Gool, “Human pose estimation using body parts dependent joint regressors,” in 2013 IEEE Conf. on Computer Vision and Pattern Recognition, Portland, Ore.,
2013 (IEEE, 2013), pp. 3041–3048. https://doi.org/10.1109/cvpr.2013.391
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