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JOURNALS // Intelligent systems. Theory and applications // Archive

Intelligent systems. Theory and applications, 2022 Volume 26, Issue 1, Pages 246–249 (Mi ista364)

Part 5. Artificial neural networks and machine intelligence

Human pose estimation as a classification problem

I. Pronichkin, M. Kumskov

Lomonosov Moscow State University, Faculty of Mechanics and Mathematics

Abstract: The report considers an urgent problem of machine learning - the human pose estimation based on his image. A new way of setting the problem as the problem of classifying each pixel of the image is proposed. In the proposed formulation, the solution is implemented, a comparison with the existing regression approach is made.

Keywords: human pose estimation, convolutional neural networks, keypoint detection.



© Steklov Math. Inst. of RAS, 2024