Evaluation of Subpixel Tracking Algorithms

  • Johan Skoglund
  • Michael Felsberg
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4292)


Evaluation of tracking algorithms can be done in several different ways, either using real or synthetic images. The main benefit with the second alternative is that the environment is completely controlled, there is no problem to get the ground truth and the noise is well known. This paper contains the results from an evaluation of subpixel tracking algorithms. The main focus of the evaluation is to compare the performance of subpixel methods with different computation complexity, in order to see whether the tracking performance justifies more complex algorithms.


Ground Truth Error Function Augmented Reality Tracking Algorithm Stereo Vision 
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-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Johan Skoglund
    • 1
  • Michael Felsberg
    • 1
  1. 1.Computer Vision Laboratory, Department of Electrical EngineeringLinköping UniversityLinköpingSweden

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