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Abstract

The UAV person tracking task for this evaluation was particularly difficult because of large, complicated, and low-quality videos, with only small images of people. We found that our best results were obtained using a combination of intensity thresholding (for IR imagery), motion compensation, interest-point detection and correspondence, and pattern classification. This can be considered a preliminary exploration into an extremely challenging problem.

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References

  1. 1.
    Ali, S., Shah, M.: Cocoa - tracking in aerial imagery. In: SPIE Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications, Orlando (2006)Google Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Andrew Miller
    • 1
  • Pavel Babenko
    • 1
  • Min Hu
    • 1
  • Mubarak Shah
    • 1
  1. 1.Computer Vision Lab at University of Central Florida 

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