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Ein MPEG-Prozessor als Bewegungssensor in der Robot Vision

  • Conference paper
Autonome Mobile Systeme 1997

Part of the book series: Informatik aktuell ((INFORMAT))

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Kurzfassung

Detektion und Auswertung von Bewegung in Videobildfolgen ist ein zentrales Problem der Robot Vision. In dieser Arbeit wird ein PC-basiertes Bewegungssensor-System vorgestellt, das zur echt-zeitfähigen Bestimmung der Bewegungsvektoren im Bild einen MPEG Motion Estimation Prozessor verwendet. Um die bereits in Arbeiten anderer Gruppen als problematisch beschriebene Störanfälligkeit derart erzeugter Vektorfelder zu kompensieren, wird ein weiteres Rechenwerk zur vektorweisen Bestimmung von Konfidenzmaßen eingesetzt. Die daraus resultierende Verwendbarkeit des Systems für Robot Vision Anwendungen und die zu beachtenden Einschränkungen bei der Adaption von Verfahren aus der Literatur des optischen Flusses werden anhand exemplarischer Anwendungen und Experimente gezeigt.

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Literatur

  1. G. Adiv. Determining Three-Dimensional Motion and Structure from Optical Flow Generated by Several Moving Objects.IEEE Trans. on Pattern Analysis and Machine Intelligence, 7 (4): 319–336, Jul 1985.

    Google Scholar 

  2. G. Cheng, A. Zelinsky. Real-Time Visual Behaviours for Navigating a Mobile Robot. InProc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS’96), S. 973–980, Nov 1996.

    Google Scholar 

  3. M. Inaba, K. Nagasaka, F. Kanehiro, S. Kagami, H. Inoue. Real-Time Vision-Based Control of Swing Motion by Human-form Robot Using the Remote-Brained Approach. InProc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS’96), S. 15–22, Nov 1996.

    Google Scholar 

  4. H. Inoue, T. Tachikawa, M. Inaba. Robot Vision System with a Correlation Chip for Real-Time Tracking, Optical Flow and Depth Map Generation. In Proc. IEEE Int. Conf. on Robotics and Automation (ICRA’92), S. 1621–1626, 1992.

    Chapter  Google Scholar 

  5. LSI Logic. Image Compression Databook. LSI Logic Corporation, 1993.

    Google Scholar 

  6. T. Mori, M. Inaba, H. Inoue. Visual Tracking Based on Cooperation of Multiple Attention Regions. InProc. IEEE Int. Conf. on Robotics and Automation (ICRA’96), S. 2921–2928, 1996.

    Google Scholar 

  7. K. Prazdny. Determining the Instantaneous Direction of Motion from Optical Flow Generated by Curvilinearly Moving Observer.Computer Graphics and Image Processing, 17: 238–248, 1981.

    Article  Google Scholar 

  8. A. Singh.Optic Flow Computation: A Unified Perspective. IEEE Computer Society Press, Los Alamitos, California, 1991.

    Google Scholar 

  9. N. O. Stöffler, G. Färber. An Image Processing Board with an MPEG Processor and Additional Confidence Calculation for Fast and Robust Optic Flow Generation in Real Environments. In Proc. 1997 Int. Conf on Advanced Robotics (ICAR’97), 1997. To appear.

    Google Scholar 

  10. N. O. Stöffler, A. Hauck, G. Färber. Ein geometrisch-symbolisches Umgebungsmodell zur Unterstützung verschiedener Perzeptionsaufgaben autonomer, mobiler Systeme. In G. Schmidt, F. Freyberger, Herausgeber, Autonome Mobile Systeme, Informatik aktuell, S. 108–117. Springer-Verlag, 1996.

    Google Scholar 

  11. N. Takeda, M. Watanaba, K. Onoguchi. Moving Obstacle Detection using Residual Error of FOE Estimation. InProc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS’96), Nov 1996.

    Google Scholar 

  12. R. Y. Tsai, T. S. Huang. Uniqueness and Estimation of Three-Dimensional Parameters of Rigid Objects with Curved Surfaces.IEEE Trans. on Pattern Analysis and Machine Intelligence, 6 (1): 13–27, Jan 1984.

    Article  Google Scholar 

  13. A. Verri, F. Girosi, V. Torre. Mathematical properties of the two-dimensional motion field: from singular points to motion parameters.J. Opt. Soc. Am, 6 (5): 698–712, May 1989.

    Article  MathSciNet  Google Scholar 

  14. Weng, T. S. Huang, N. Ahudja. Motion and Structure from Two Perspective Views: Algorithms, Error Analysis, and Error Estimation. IEEE Trans. on Pattern Analysis and Machine Intelligence, 11(5):451–479, May 1989.

    Article  Google Scholar 

  15. S. Yamamoto, Y. Mae, Y. Shiray, J. Miura. Realtime Multiple Object Tracking Based on Optical Flows. In Proc. IEEE Int. Conf. on Robotics and Automation (ICRA’95), volume 3, S. 2328–2333, May 1995.

    Article  Google Scholar 

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Authors and Affiliations

  1. Lehrstuhl für Prozeßrechner, Technische Universität München, Germany

    Norbert O. Stöffler & Prof. Dr. -Ing. G. Färber

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  1. Norbert O. Stöffler
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  2. Prof. Dr. -Ing. G. Färber
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© 1997 Springer-Verlag Berlin Heidelberg

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Stöffler, N.O., Färber, G. (1997). Ein MPEG-Prozessor als Bewegungssensor in der Robot Vision. In: Autonome Mobile Systeme 1997. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60904-6_6

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  • DOI: https://doi.org/10.1007/978-3-642-60904-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63513-0

  • Online ISBN: 978-3-642-60904-6

  • eBook Packages: Springer Book Archive

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