The problem of human pose estimation: tasks, methods, solutions

Shergin Ivan Andreevich; Ryzhov Alexander Pavlovich

The problem of human pose estimation: tasks, methods, solutions

Shergin I. A., Ryzhov A. P.

Shergin Ivan Andreevich

graduate student, Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics, Chair of Intelligent Information Technology

Ryzhov Alexander Pavlovich

Sc.D. in engineering, Ph.D. in mathematics, MBA, professor, Moscow State University, Faculty of Computational Mathematics and Cybernetics, Chair of Intelligent Information Technology

Published: 2024, vol. 28, issue 1, pp. 69–84

Download full text (In Russian)

Abstract

The article deals with the problem of estimating a person’s pose, which arises in many applications of computer vision systems. Various problem statements and approaches to solving the problem are considered, an overview of existing solution methods and data sets is provided. Additionally, the application of methods in the task of teaching physical skills is investigated.

Keywords: machine learning, deep learning, human posture estimation, computer vision.

BibTeX

@article{IS-Shergin-Ryzhov2024,
  author  = {Shergin, Ivan Andreevich and Ryzhov, Alexander Pavlovich},
  title   = {{The problem of human pose estimation: tasks, methods, solutions}},
  journal = {Intelligent Systems. Theory and Applications},
  year    = {2024},
  volume  = {28},
  number  = {1},
  pages   = {69--84},
}

AMSBIB

\Bibitem{IS-Shergin-Ryzhov2024}
\by I.\,A.~Shergin, A.\,P.~Ryzhov
\paper The problem of human pose estimation: tasks, methods, solutions
\jour Intelligent Systems. Theory and Applications
\yr 2024
\vol 28
\issue 1
\pages 69--84
\lang In Russian

Published under Creative Commons Attribution 4.0 International (CC BY 4.0)

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