Tracking Performance of Several Combinations of Common Evaluation Metrics and Sub-pixel Methods
(2015) 16th Nordic-Baltic Conference on Biomedical Engineering (NBC) / 10th MTD Joint Conference 48. p.13-16- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/5063078
- author
- Albinsson, John LU ; Jansson, Tomas LU and Cinthio, M.
- organization
- publishing date
- 2015
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Sub-pixel estimation, block-matching, motion estimation, ultrasound
- host publication
- 16th Nordic-Baltic Conference on Biomedical Engineering
- volume
- 48
- pages
- 13 - 16
- publisher
- Springer
- conference name
- 16th Nordic-Baltic Conference on Biomedical Engineering (NBC) / 10th MTD Joint Conference
- conference dates
- 2014-10-14 - 2014-10-16
- external identifiers
-
- wos:000347893000004
- scopus:84910674243
- ISSN
- 1680-0737
- DOI
- 10.1007/978-3-319-12967-9_4
- language
- English
- LU publication?
- yes
- id
- 8ad2a17f-6659-42c3-b472-9bbcffcac6f7 (old id 5063078)
- date added to LUP
- 2016-04-01 14:47:23
- date last changed
- 2022-01-28 02:31:19
@inproceedings{8ad2a17f-6659-42c3-b472-9bbcffcac6f7,
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.}},
author = {{Albinsson, John and Jansson, Tomas and Cinthio, M.}},
booktitle = {{16th Nordic-Baltic Conference on Biomedical Engineering}},
issn = {{1680-0737}},
keywords = {{Sub-pixel estimation; block-matching; motion estimation; ultrasound}},
language = {{eng}},
pages = {{13--16}},
publisher = {{Springer}},
title = {{Tracking Performance of Several Combinations of Common Evaluation Metrics and Sub-pixel Methods}},
url = {{http://dx.doi.org/10.1007/978-3-319-12967-9_4}},
doi = {{10.1007/978-3-319-12967-9_4}},
volume = {{48}},
year = {{2015}},
}