Estimation of video sequence homography based on a first-order estimation method

Qixuan Zheng, Muyu Li, Hong Yan

Abstract: Highlights•We propose a video sequence homography estimation algorithm with a first-order estimation method.•The pixel-based texture patterns in the consecutive frame are directly matched without extraction to accelerate the process.•An adaptive determination method dynamically estimating the pattern selection region is proposed to avoid mismatches.•The proposed algorithm with simple one-dimensional texture patterns achieves high performance with a real-time evaluation.