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Real-time automatic colour calibration for NAO humanoids

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journal contribution
posted on 10.06.2019 by Anastasia Bolotnikova, Gholamreza Anbarjafari
A challenge in NAO soccer robots is colour calibration. Good colour calibration can result in robust and accurate self-localization of the robot. Currently manual calibration is the only solution, which is used. In this paper, we are proposing an automatic real-time, accurate YUV colour space based colour calibration technique. In order to define average values for the desired colour classes namely orange, white, green and purple, a specified set of frames from the NAO camera are analysed. These average values are corrected by luminance analysis of a new frame and are passed to the K-means clustering algorithm as a set of initial means. In addition to these four values, a set of initial means of the K-means algorithm contains 16 values that are calculated in the following manner: the frame being processed is divided into 4 by 4 grids and the average value from every grid serves as an initial mean for K-means clustering. Consequently, colours of a similar type are combined into clusters. The final step of the proposed technique is cluster classification in which the average values of the desired colour classes are corrected by luminance analysis. As NAO cameras provide video streams in YUV format and the proposed algorithm uses this format there is no need for additional computational steps for conversation between the colour spaces. As a result, computational process is reduced compared to current techniques.

Funding

This work has been partially supported by Estonian Information Technology Foundation, Skype Technologies and Estonian Research Council Grant (PUT638).

History

School

  • Loughborough University London

Published in

Tehnički vjesnik

Volume

25

Pages

957 - 961

Citation

BOLOTNIKOVA, A. and ANBARJAFARI, G., 2018. Real-time automatic colour calibration for NAO humanoids. Tehnicki vjesnik, 25(4), pp. 957 - 961.

Publisher

© Tehnicki vjesnik – Technical Gazette

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/

Publication date

2018

Notes

This is an Open Access Article. It is published by Tehnicki vjesnik – Technical Gazette under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

ISSN

1330-3651

eISSN

1848-6339

Language

en

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