| Autor: |
A.A. Kuatbayeva, B. Aubakirova, Raissa Uskenbayeva, G.K. Kuatbayeva, B. T. Kossynbayev, G G Aubakirova, A.A. Kuandykov |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
CBI (2) |
| DOI: |
10.1109/cbi49978.2020.10063 |
| Popis: |
This article discusses the problems of recognition and determination of the pose of one person, several on the image and video sequence. To solve this problem, the characteristic features of human image recognition algorithms are analyzed- as a set of points and lines connecting them. We can imagine a person as a set of dynamic fixtures and parts connecting them. In the most elementary models, they are radius vectors between two points. Two publicly available algorithms for recognizing a person's pose AlphaPose and OpenPose- were also considered [16; 17]. Based on the results of the study, each algorithm had advantages in which areas. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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