A NOVEL BLOCK MOTION ESTIMATION MODEL FOR VIDEO STABILIZATION APPLICATIONS

Harish Bhaskar, Helmut Bez

Abstract

Video stabilization algorithms primarily aim at generating stabilized image sequences by removing unwanted shake due to small camera movements. It is important to perform video stabilization in order to assure more effective high level video analysis. In this paper, we propose novel motion correction schemes based on probabilistic filters in the context of block matching motion estimation for efficient video stabilization. We present a detailed overview of the model and compare our model against other block matching schemes on several real-time and synthetic data sets.

References

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Paper Citation


in Harvard Style

Bhaskar H. and Bez H. (2007). A NOVEL BLOCK MOTION ESTIMATION MODEL FOR VIDEO STABILIZATION APPLICATIONS . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-972-8865-83-2, pages 303-306. DOI: 10.5220/0001650803030306


in Bibtex Style

@conference{icinco07,
author={Harish Bhaskar and Helmut Bez},
title={A NOVEL BLOCK MOTION ESTIMATION MODEL FOR VIDEO STABILIZATION APPLICATIONS},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2007},
pages={303-306},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001650803030306},
isbn={978-972-8865-83-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - A NOVEL BLOCK MOTION ESTIMATION MODEL FOR VIDEO STABILIZATION APPLICATIONS
SN - 978-972-8865-83-2
AU - Bhaskar H.
AU - Bez H.
PY - 2007
SP - 303
EP - 306
DO - 10.5220/0001650803030306