Skip to main content

Robust Silhouette Extraction from Kinect Data

  • Conference paper

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

Abstract

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.

Keywords

  • 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.

References

  1. Kinect for Windows SDK, http://www.microsoft.com/en-us/kinectforwindows/

  2. Rizzolatti, G., Craighero, L.: The mirror neuron system. Annual Review of Neuroscience 27, 169–192 (2004)

    CrossRef  Google Scholar 

  3. Cameirão, M.S., Badia, S.B.I., Oller, E.D., Verschure, P.F.M.J.: Neurorehabilitation using the virtual reality based Rehabilitation Gaming System: methodology, design, psychometrics, usability and validation. Journal of Neuroengineering and Rehabilitation 7, 48 (2010)

    CrossRef  Google Scholar 

  4. Mainetti, R., Sedda, A., Ronchetti, M., Bottini, G., Borghese, N.A.: Duckneglect: video-games based neglect rehabilitation. Technology and Health care (in press, 2013)

    Google Scholar 

  5. Unsworth, C.A.: Cognitive and Perceptual Dysfunction. In: Schmitz, T.J., O’Sullivan, S.B. (eds.) Physical Rehabilitation, pp. 1149–1185. Davis Company, Philadelphia (2007)

    Google Scholar 

  6. Frosio, I., Borghese, N.A.: Real-time accurate circle fitting with occlusion. Pattern Recognition 41(3), 1041–1055 (2008)

    CrossRef  MATH  Google Scholar 

  7. Menna, F., Remondino, F., Battisti, R., Nocerino, E.: Geometric investigation of a gaming active device. In: Proc. of Videometrics, Range Imaging and Applications XI, SPIE Optical Metrology (2011)

    Google Scholar 

  8. Khoshelham, K., Elberink, S.O.: Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications. In: Sensors 2012, vol. 12, pp. 1437–1454 (2012)

    Google Scholar 

  9. Yuheng Ren, C., Reid, I.: A unified energy minimization frameworkfor model fitting in depth. In: 2nd Workshop on Consumer Depth Cameras for Computer Vision, CDC4CV (2012)

    Google Scholar 

  10. Sanford, K.: Smoothing Kinect Depth Frames in Real-Time (2012)

    Google Scholar 

  11. Obukhov, A., Kharlamov, A.: 8x8 Discrete Cosine Transform with CUDA, Whitepaper, http://docs.nvidia.com/cuda/cuda-samples/index.html

  12. Pirovano, M., Mainetti, R., Baud-Bovy, G., Lanzi, P.L., Borghese, N.A.: Self-Adaptive Games for Rehabilitation at Home. In: Proc. IEEE Conference on Computational Intelligence and Games, pp. 179–186 (2012)

    Google Scholar 

  13. Mori, M.: The Uncanny Valley. Energy 7(4), 33–35 (1970)

    Google Scholar 

  14. Hartley, R., Zisserman, A.: Multiple View Geometry, Cambridge University Press (2000)

    Google Scholar 

  15. Frosio, I., Borghese, N.A.: 6dof tracking, with axial markers. Medical & Biological Engineering & Computing (in press, 2013), doi:10.1007/s11517-013-1052-7

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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. https://doi.org/10.1007/978-3-642-41181-6_65

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-41181-6_65

  • 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)