Dahyot, Rozenn and Kokaram, Anil (2004) Comparison of Two Algorithms for Robust M-estimation of Global Motion Parameters. Proceedings of the Irish Machine Vision Conference 2004. pp. 224-231.

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Abstract

The estimation of Global or Camera motion from image sequences is important both for video retrieval and compression (MPEG4). This is frequently performed using robust M-estimators with the widely used Iterative Reweighted Least Squares algorithm. This article presents an investigation of the use of an alternative robust estimation algorithm and illustrates its improved computationnal efficiency. The paper also introduces two new confidence measures which can be used to validate camera motion measurements in the context of information retrieval.

Item Type:	Article
Keywords:	Camera motion; M-estimators; Video analysis;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	15315
Depositing User:	Rozenn Dahyot
Date Deposited:	24 Jan 2022 12:52
Journal or Publication Title:	Proceedings of the Irish Machine Vision Conference 2004
Publisher:	Trinity College Dublin
Refereed:	Yes
URI:	Organisation
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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