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

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.

• Author: John Albinsson; Tomas Jansson; M. Cinthio
• Department/s: Department of Biomedical Engineering
• Publishing year: 2015
• Language: English
• Pages: 13-16
• Publication/Series: 16th Nordic-Baltic Conference on Biomedical Engineering
• Volume: 48
• Links: http://dx.doi.org/10.1007/978-3-319-12967-9_4
• 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