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International Conference Image Analysis and Recognition

ICIAR 2005: Image Analysis and Recognition pp 804–811Cite as

A Fast Real-Time Skin Detector for Video Sequences

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3656))

Abstract

Skin detection has been employed in various applications including face and hand tracking, and retrieving people in video databases. However most of the currently available algorithms are either based on static features of the skin color, or require a significant amount of computation. Moreover, skin detection algorithms are not robust enough to deal with real-world conditions, such as background noise, change of intensity and lighting effects. This situation can be improved by using dynamic features of the skin color in a sequence of images. This article proposes a skin detection algorithm based on in-motion pixels of the image. The membership measurement function for recognizing skin/non skin is based on the Hue histogram of skin pixels that adapts itself to the user’s skin color, in each frame. This algorithm has demonstrated significant improvement in comparison to the static skin detection algorithms.

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Author information

Authors and Affiliations

  1. Institute of Information and Mathematical Sciences, Massey University, Private Bag 102 904, North Shore Mail Centre, Albany, Auckland, New Zealand

    Farhad Dadgostar & Abdolhossein Sarrafzadeh

Authors
  1. Farhad Dadgostar
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  2. Abdolhossein Sarrafzadeh
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Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering Department, University of Waterloo,  

    Mohamed Kamel

  2. FEUP - Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, P.O. Box, 4200-465, Porto, Portugal

    Aurélio Campilho

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© 2005 Springer-Verlag Berlin Heidelberg

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Dadgostar, F., Sarrafzadeh, A. (2005). A Fast Real-Time Skin Detector for Video Sequences. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_98

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  • DOI: https://doi.org/10.1007/11559573_98

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29069-8

  • Online ISBN: 978-3-540-31938-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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