Video stabilization algorithm based on multiple cameras

Abstract

The proposed video stabilization algorithm for head-mounted mobile platforms addresses the issue of video shake. In the feature detection and extraction stage, the Super point feature extraction algorithm is used to extract feature points. This algorithm provides a more comprehensive set of feature points compared to traditional feature detection methods, enabling accurate motion estimation.In the motion smoothing stage, the camera path of a specific camera is preprocessed using Kalman filtering to remove significant shaking factors. Then, the processed path is used as a baseline to simultaneously smooth all camera paths through spatio-temporal optimization, aiming to make the camera paths as similar as possible and reduce distortion. Finally, the optimal path is selected from the refined paths to address the deviation among multiple cameras.Experimental results have demonstrated that this method achieves comparable stability to other methods while significantly reducing the required processing time.