A robust histogram 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 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.