Video stabilization based on GMS and warping transform

Jiwen Liu; Qian Huang; Yiming Wang; Chuanxu Jiang; Mingzhou Shang

doi:10.1117/12.2644293

12 October 2022 Video stabilization based on GMS and warping transform

Jiwen Liu, Qian Huang, Yiming Wang, Chuanxu Jiang, Mingzhou Shang

Proceedings Volume 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022); 1234225 (2022) https://doi.org/10.1117/12.2644293
Event: Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 2022, Wuhan, China

Abstract

Video stabilization is a video enhancement technology that improves the original video quality by eliminating unnecessary camera motion. In the last decade of research, video stabilization has changed from a simple solution aimed at computational simplicity to a complex solution aimed at stabilization effects. We propose a novel method based on Grid-based Motion Statistics(GMS) and warping transformation, stabilizing video with less cropping. Specifically, feature points are firstly matched by GMS, and RANSAC is applied within each frame to estimate the motion vectors accurately. Furthermore, we incorporate predicted adaptive path smoothing to produce stable trajectories and generate stable video with warping transformation. Moreover, to the best of our knowledge, the proposed algorithm has less cropping and better stability than previous work. The experimental results demonstrate the performance of our method on a large variety of consumer videos.

Citation Download Citation

Jiwen Liu, Qian Huang, Yiming Wang, Chuanxu Jiang, and Mingzhou Shang "Video stabilization based on GMS and warping transform", Proc. SPIE 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 1234225 (12 October 2022); https://doi.org/10.1117/12.2644293

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KEYWORDS

Video

Cameras

3D modeling

Motion estimation

Distortion

Video processing

Motion models

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