Saliency based skin detection in complex scenes

Kashif Ahmad; Nasir Ahmad; Rehan Khan; Akhtar Khalil

doi:10.1117/12.2052926

24 December 2013 Saliency based skin detection in complex scenes

Kashif Ahmad, Nasir Ahmad, Rehan Khan, Akhtar Khalil

Proceedings Volume 9067, Sixth International Conference on Machine Vision (ICMV 2013); 90671U (2013) https://doi.org/10.1117/12.2052926
Event: Sixth International Conference on Machine Vision (ICMV 13), 2013, London, United Kingdom

Abstract

Background cluttering badly affects the performance of Skin detection. In highly cluttered images, skin detection becomes more difficult and the algorithm can’t differentiate between the skin and non-skin pixels. In this paper, we introduce saliency algorithm for removing the irrelevant information especially the skin like regions, in the background of the human images to tackle the background cluttering problem and improve the performance of skin detection algorithms in images with complex backgrounds. Extensive experimentation on highly cluttered and complex images shows that saliency algorithm further enhances the performance of skin detection algorithms not only in terms of false positive rate but in true positive rate, true negative, false negative rate, accuracy and precision too.

Citation Download Citation

Kashif Ahmad, Nasir Ahmad, Rehan Khan, and Akhtar Khalil "Saliency based skin detection in complex scenes", Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 90671U (24 December 2013); https://doi.org/10.1117/12.2052926

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