Video Stabilization System Based on Speeded-up Robust Features

DOI

10.2991/iiicec-15.2015.435How to use a DOI?

Keywords

Video Stabilization; Feature Extraction; Motion Estimation; SURF; RANSAC

Abstract

In this paper,a fast and efficient video stabilization method based on speeded-up robust features (SURF) is presented .We adopted speeded-up robust features as feature descriptor,which are extracted and tracked in each frame .After that, we further refined the matching features through RANSAC, estimating the motion parameters through least squares method and computed the integrated motion. Experimental results illustrate superior performance of the SURF based video stabilization in terms of accuracy and speed when compared with the Scale Invariant Feature Transform (SIFT) based stabilization method.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xie Zheng
AU  - Shaohui Cui
AU  - Gang Wang
AU  - Jinlun Li
PY  - 2015/03
DA  - 2015/03
TI  - Video Stabilization System Based on Speeded-up Robust Features
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 1995
EP  - 1998
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.435
DO  - 10.2991/iiicec-15.2015.435
ID  - Zheng2015/03
ER  -