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Tracking Performance of Several Combinations of Common Evaluation Metrics and Sub-pixel Methods

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Author

Summary, in English

Motion estimation in a series of consecutive images is used in a variety of areas, e.g. video compression and investigation of tissue characteristics and organ function in medical images. Several methods exist both for estimating motions on a pixel level, e.g. block-matching in which two blocks in consecutive images are compared by an evaluation metric, and on a sub-pixel level. In this paper, we have evaluated the tracking performance of all combinations between three evaluation metrics and eight sub-pixel estimation methods. The tracking performance of a sub-pixel method varies depending on the evaluation metric used. This indicates that a reported tracking performance for a sub-pixel estimation method can be significantly different when combined with another evaluation metric. Also there is a large variation in the time needed for the motion estimations depending primarily on the sub-pixel method used but also on the evaluation metric.

Publishing year

2015

Language

English

Pages

13-16

Publication/Series

16th Nordic-Baltic Conference on Biomedical Engineering

Volume

48

Document type

Conference paper

Publisher

Springer

Topic

  • Medical Engineering

Keywords

  • Sub-pixel estimation
  • block-matching
  • motion estimation
  • ultrasound

Conference name

16th Nordic-Baltic Conference on Biomedical Engineering (NBC) / 10th MTD Joint Conference

Conference date

2014-10-14 - 2014-10-16

Status

Published

ISBN/ISSN/Other

  • ISSN: 1680-0737