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High-performance tracking system

  • Session IA1a — Robot Navigation & Tracking
  • Conference paper
  • First Online:
Image Analysis Applications and Computer Graphics (ICSC 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1024))

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Abstract

In this paper, we describe how reliable SSD feature selection, feature tracking and feature monitoring can be realized and interleaved into a high-performance system with no special-purpose hardware. We consider image brightness and contrast changes in the tracking system which haven't been treated before. We find the decoupled system outperforms the usual coupled system. We perform this calculation at multiple levels of resolution, leading to an adaptive algorithm for tracking both slow and fast motions. A new interpretation of feature selection is based on the trade off between noise resistance and linearization error. The overcorrectness problem in feature monitoring is addressed.

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References

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Author information

Authors and Affiliations

  1. Yale University, 06520, New Haven, CT, USA

    Jiantao Huang

  2. Polytechnic University, 11201, Brooklyn, NY, USA

    Jian-zhao Wang

Authors
  1. Jiantao Huang
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  2. Jian-zhao Wang
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Editor information

Roland T. Chin Horace H. S. Ip Avi C. Naiman Ting-Chuen Pong

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© 1995 Springer-Verlag Berlin Heidelberg

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Huang, J., Wang, Jz. (1995). High-performance tracking system. In: Chin, R.T., Ip, H.H.S., Naiman, A.C., Pong, TC. (eds) Image Analysis Applications and Computer Graphics. ICSC 1995. Lecture Notes in Computer Science, vol 1024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60697-1_82

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  • DOI: https://doi.org/10.1007/3-540-60697-1_82

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60697-0

  • Online ISBN: 978-3-540-49298-6

  • eBook Packages: Springer Book Archive

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