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Skin detection using statistics of small amount of training data

Skin detection using statistics of small amount of training data

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A skin detection approach based on combination of the statistics of multiple sources is presented. As long as the scarcity of available training data (with ground truth) is very common considering practical applications, such a fusion offers a much better classification of skin pixels compared to the state-of-the-art methods. Experiments on a renowned dataset result in a similar decision.

References

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      • Kovac, J., Peer, P., Solina, F.: `Human skin colour clustering for face detection', EUROCON 2003 – Int. Conf. on Computer as a Tool, 2003, p. 144–148.
    5. 5)
      • Zhang, H.: `The optimality of naive Bayes', Proc. 7th Int. Florida Artificial Intelligence Research Society Conf.,, 2004, AAAI Press.
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http://iet.metastore.ingenta.com/content/journals/10.1049/el.2011.2812
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