计算机与现代化Issue(6)：43-50,8.DOI:10.3969/j.issn.1006-2475.2024.06.008
一种基于改进SIFT的视频稳像方法
A Video Stabilization Method Based on Improved SIFT
摘要
Abstract
This paper proposes a video stabilization method based on improved SIFT to improve computational efficiency and maintain a good video stabilization effect.Firstly,SIFT is improved and named BO-SIFT(Binarized Octagonal SIFT).The algo-rithm introduces concentric octagonal ring feature descriptors,processes the feature vectors by dimensionality reduction and bina-rization,and then uses Hamming distance for feature point matching,which effectively reduces the description and matching time.Secondly,the BO-SIFT algorithm is applied to video stabilization,extracting the feature points of the video frames for matching and calculating the motion offsets between frames to achieve motion estimation.Afterwards,the estimated motion off-sets are smoothed using a Kalman filter and the video frames are inversely compensated using affine transformation to obtain a sta-bilized image sequence.The experimental results show that the BO-SIFT algorithm reduces the stabilization time by 56.404%compared to the original SIFT algorithm,and the stabilized video of the BO-SIFT algorithm has a higher average peak signal-to-noise ratio compared to the existing better algorithms.In addition,the algorithm in this paper is tested on different videos for video stabilization effects,which also has certain reliability and superiority.关键词
视频稳像/BO-SIFT算法/降维/二值化/运动估计/峰值信噪比Key words
video stabilization/BO-SIFT algorithm/dimensionality reduction/binarization/motion estimation/peak signal-to-noise ratio分类
信息技术与安全科学引用本文复制引用
李欣,焦立男,柳有权,马彩莎..一种基于改进SIFT的视频稳像方法[J].计算机与现代化,2024,(6):43-50,8.基金项目
国家科技重点研发计划项目(2018YFB1600802) （2018YFB1600802）
