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Telemetry-Based Search Window Correction for Airborne Tracking

  • Pau Climent-Pérez
  • Georgios Lazaridis
  • Georg Hummel
  • Martin Russ
  • Dorothy N. Monekosso
  • Paolo Remagnino
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8887)

Abstract

Tracking from airborne cameras is very challenging, since most assumptions made for fixed cameras do not hold. Therefore, compensation of platform ego-motion is seen as a necessary pre-processing step. Most existing methods perform image registration or matching, which involves costly image transformations, and have a restricted operational range. In this paper, a novel ego-motion compensation approach is presented, that transforms the local search window of the visual tracker. This is much more computationally efficient, and can be applied regardless of the amount of texture in the background. Experiments with ground truth and tracker output data are conducted and show the validity of the approach.

Keywords

Unmanned Aerial Vehicle Inertial Measurement Unit Visual Tracker Search Window Ground Truth Data 
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.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Pau Climent-Pérez
    • 1
  • Georgios Lazaridis
    • 1
  • Georg Hummel
    • 2
  • Martin Russ
    • 2
  • Dorothy N. Monekosso
    • 1
  • Paolo Remagnino
    • 1
  1. 1.Robot Vision Team (RoViT), Faculty of Science, Engineering and ComputingKingston University LondonKingston upon ThamesUK
  2. 2.Institute of Flight SystemsUniversity of the Bundeswehr MunichNeubibergGermany

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