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An Active Vision Approach to Height Estimation with Optical Flow

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Advances in Visual Computing (ISVC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8033))

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Abstract

In this research we propose a prudent method for estimating the principal point of a camera with a means of active vision and, in particular, by varying the focal length of a camera and applying optical flow with the aim to estimate the height of the objects. In our method only one parameter is known, namely the height of the camera from the ground. No reference objects or points are used in the real environment nor any calibration of the camera has been employed. The known camera height is projected in the image plane, that is, from the principal point to the ground and is used as a reference to estimate the height of objects. Our results show that our method for estimating both the principal point and the height of the objects is parsimonious yet effective.

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Author information

Authors and Affiliations

  1. C-MANTIC Lab, Department of Computer Science, University of Nebraska, Omaha, Omaha, NE, 68182, USA

    Sotirios Ch. Diamantas & Prithviraj Dasgupta

Authors
  1. Sotirios Ch. Diamantas
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  2. Prithviraj Dasgupta
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Editor information

Editors and Affiliations

  1. University of Nevada, Reno, NV, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Arizona State University, Tempe, AZ, USA

    Baoxin Li

  6. Mitsubishi Electric Research Laboratories, Cambridge, MA, USA

    Fatih Porikli

  7. University of California, Riverside, CA, USA

    Victor Zordan

  8. AT&T Research Labs, Florham Park, NJ, USA

    James Klosowski

  9. ZIRST, Saint-Ismier Cedex, France

    Sabine Coquillart

  10. Qualcomm Research, San Diego, CA, USA

    Xun Luo

  11. Oxford e-Research Centre, University of Oxford, Oxford, UK

    Min Chen

  12. IBM, Hawthorne, NY, USA

    David Gotz

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© 2013 Springer-Verlag Berlin Heidelberg

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Diamantas, S.C., Dasgupta, P. (2013). An Active Vision Approach to Height Estimation with Optical Flow. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2013. Lecture Notes in Computer Science, vol 8033. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41914-0_17

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  • DOI: https://doi.org/10.1007/978-3-642-41914-0_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41913-3

  • Online ISBN: 978-3-642-41914-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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