A Robust Region-based Global Camera Estimation Method for Video Sequences
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.
Conference Title
Signal Processing and Communication Systems (ICSPCS), 2013 7th International Conference on
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Subject
Computer Vision