A Robust Region-based Global Camera Estimation Method for Video Sequences
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Gonzalez, Ruben
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Beata J. and Tadeusz A. Wysocki
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Gold Coast, Australia
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Abstract
Global motion estimation (GME) plays an important role in video object segmentation. This paper presents a computationally efficient three stage affine GME algorithm, using radius-based Fourier Descriptors from histogram-based image segmented regions. Then a variance-cut KD tree is used for initial matching between FDs. and an efficient two-step outlier method is applied to remove incorrect outliers. Experiments with different video sequences are used to demonstrate the performance of the proposed approach.
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Signal Processing and Communication Systems (ICSPCS), 2013 7th International Conference on
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© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Computer Vision