Body Shape Analysis via Image Processing

DOI

10.2991/erse.2013.30How to use a DOI?

Keywords

body shape, thin-long, stout, motile, image processing.

Abstract

This paper proposed a new method to analyze the body shape without touching via image processing technique. First, the edges of images are extracted via some edge detection methods. Second, these edge images are analyzed by some measures such as body length and width which can effectively disclose the types of body: thin-long, stout or motile. Experiments show that this proposed method can effectively analyze the body shape with high veracity. This is of much importance to the potential applications in athletics selection.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jinyan Yang
AU  - Yu Li
AU  - Tao Jiang
AU  - Yu Wei
AU  - Guanlei Xu
PY  - 2013/08
DA  - 2013/08
TI  - Body Shape Analysis via Image Processing
BT  - Proceedings of the 2013 International Conference on Educational Research and Sports Education (ERSE 2013)
PB  - Atlantis Press
SP  - 101
EP  - 104
SN  - 1951-6851
UR  - https://doi.org/10.2991/erse.2013.30
DO  - 10.2991/erse.2013.30
ID  - Yang2013/08
ER  -