Classification of a two-dimensional pose using a human skeleton
| Autor: | Viacheslav V. Voronin, Marina Pismenskova, Oxana Balabaeva, Valentin Fedosov |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Artificial neural network business.industry 02 engineering and technology Human body 01 natural sciences Human skeleton medicine.anatomical_structure Feature (computer vision) lcsh:TA1-2040 0103 physical sciences 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing Computer vision Artificial intelligence 010306 general physics business lcsh:Engineering (General). Civil engineering (General) |
| Zdroj: | MATEC Web of Conferences, Vol 132, p 05016 (2017) |
| Popis: | This article proposes an approach for the human pose recognition based on to preliminary prepared high-level data of the human skeleton. The coordinates of the feature points on the human skeleton is constructed by using a neural network. In the presented method, the coordinates of the feature points are a normalized relative of the human body height and the centre of gravity. We use these data for training the neural network. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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