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2013 | OriginalPaper | Buchkapitel

A Robust Histogram Region-Based Global Camera Estimation Method for Video Sequences

verfasst von : Xuesong Le, Ruben Gonzalez

Erschienen in: The Era of Interactive Media

Verlag: Springer New York

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Abstract

Global motion estimation (GME) plays an important role in video object segmentation. This paper presents a computationally efficient two stage affine GME algorithm. The key idea is to create initial matches for histogram-based image segmented regions. Then an affine motion model is estimated and refined by iteratively removing incorrect matches. Experiments with different types of video sequences are used to demonstrate the performance of the proposed approach.

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Metadaten
Titel
A Robust Histogram Region-Based Global Camera Estimation Method for Video Sequences
verfasst von
Xuesong Le
Ruben Gonzalez
Copyright-Jahr
2013
Verlag
Springer New York
DOI
https://doi.org/10.1007/978-1-4614-3501-3_55

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