A Multiple Classifier Approach for Detecting Naked Human Bodies in Images

  • Luca Giangiuseppe Esposito
  • Carlo Sansone
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8157)


With the arise of Web 2.0 and social networks, millions of people upload multimedia contents on the web every day. Images are typically published without control and only if users report a problem, unappropriate or offensive content are removed. So, there is the need of a system for automatically processing such kind of data.

In this paper we propose a system, based on a multiple classifier approach, for detecting naked human bodies in images. It analyzes both body geometric properties and global visual features. A comparison with other state-of-the-art proposals demonstrated the effectiveness of the proposed approach.


Local Binary Pattern Skin Region Macro Block Skin Detection Adult Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Luca Giangiuseppe Esposito
    • 1
  • Carlo Sansone
    • 1
  1. 1.Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione (DIETI)University of Naples Federico IIItaly

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