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Robust Silhouette Extraction from Kinect Data

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNIP,volume 8156)


Natural User Interfaces allow users to interact with virtual environments with little intermediation. Immersion becomes a vital need for such interfaces to be successful and it is achieved by making the interface invisible to the user. For cognitive rehabilitation, a mirror view is a good interface to the virtual world, but obtaining immersion is not straightforward. An accurate player profile, or silhouette, accurately extracted from the real-world background, increases both the visual quality and the immersion of the player in the virtual environment. The Kinect SDK provides raw data that can be used to extract a simple player profile. In this paper, we present our method for obtaining a smooth player profile extraction from the Kinect image streams.


  • Discrete Cosine Transform
  • Cognitive Rehabilitation
  • Kinect Sensor
  • Natural User Interface
  • Depth Camera

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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© 2013 Springer-Verlag Berlin Heidelberg

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Pirovano, M. et al. (2013). Robust Silhouette Extraction from Kinect Data. In: Petrosino, A. (eds) Image Analysis and Processing – ICIAP 2013. ICIAP 2013. Lecture Notes in Computer Science, vol 8156. Springer, Berlin, Heidelberg.

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41180-9

  • Online ISBN: 978-3-642-41181-6

  • eBook Packages: Computer ScienceComputer Science (R0)