Stabilization of Endoscopic Videos using Camera Path from Global Motion Vectors

Navya Amin, Thomas Gross, Marvin C. Offiah, Susanne Rosenthal, Nail El-Sourani, Markus Borschbach

2014

Abstract

Many algorithms for video stabilization have been proposed so far. However, not many digital video stabilization procedures for endoscopic videos are discussed. Endoscopic videos contain immense shakes and distortions as a result of some internal factors like body movements or secretion of body fluids as well as external factors like manual handling of endoscopic devices, introduction of surgical devices into the body, luminance changes etc.. The feature detection and tracking approaches that successfully stabilize the non-endoscopic videos might not give similar results for the endoscopic videos due to the presence of these distortions. Our focus of research includes developing a stabilization algorithm for such videos. This paper focusses on a special motion estimation method which uses global motion vectors for tracking applied to different endoscopic types (while taking into account the endoscopic region of interest). It presents a robust video processing and stabilization technique that we have developed and the results of comparing it with the state-of-the-art video stabilization tools. Also it discusses the problems specific to the endoscopic videos and the processing techniques which were necessary for such videos unlike the real-world videos.

Paper Citation

in Harvard Style

Amin N., Gross T., C. Offiah M., Rosenthal S., El-Sourani N. and Borschbach M. (2014). Stabilization of Endoscopic Videos using Camera Path from Global Motion Vectors . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1, pages 130-137. DOI: 10.5220/0004688801300137

in Bibtex Style

@conference{visapp14,
author={Navya Amin and Thomas Gross and Marvin C. Offiah and Susanne Rosenthal and Nail El-Sourani and Markus Borschbach},
title={Stabilization of Endoscopic Videos using Camera Path from Global Motion Vectors},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={130-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004688801300137},
isbn={978-989-758-003-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)
TI - Stabilization of Endoscopic Videos using Camera Path from Global Motion Vectors
SN - 978-989-758-003-1
AU - Amin N.
AU - Gross T.
AU - C. Offiah M.
AU - Rosenthal S.
AU - El-Sourani N.
AU - Borschbach M.
PY - 2014
SP - 130
EP - 137
DO - 10.5220/0004688801300137