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

  • J. Albinsson
  • T. Jansson
  • M. Cinthio
Part of the IFMBE Proceedings book series (IFMBE, volume 48)

Abstract

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.

Keywords

Sub-pixel estimation block-matching motion estimation ultrasound 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • J. Albinsson
    • 1
  • T. Jansson
    • 2
  • M. Cinthio
    • 1
  1. 1.Department of Biomedical Engineering, Faculty of EngineeringLund UniversityLundSweden
  2. 2.Clinical Sciences Lund, Biomedical EngineeringLund University, and Medical Services, Skåne University HospitalLundSweden

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