由于视频帧数量较大，视频序列拼接时容易造成拼接误差大、耗时较多，为有效解决此问题，提出一种基于自适应关键帧的视频序列拼接方法。将固定间隔采样帧作为关键帧并对其进行特征点提取．利用特征点匹配结合RANSAC鲁棒估计算法得到关键帧间单映矩阵，依此计算关键帧间重叠区域，按照重叠区域比例结合折半排序方法重新定位关键帧，将此关键帧作为基准帧，重复帧采样、重叠区域确定、定位后续所需关键帧过程，直至关键帧提取完毕，最后，利用级联单映矩阵和加权融合实现视频序列无缝拼接。实验验证了该方法的有效性。%In order to solve the problems of time consuming and the mount of frames in video mosaic, a mosaic method of video sequence based on adaptive keyframes was proposed. The features of keyframes which were extracted by fixed sampling period were extracted. With the RANSAC robust estimation for homography matrix,the overlaps of keyframes were estimated. According to the overlaps ratio and binary search ,the reorientation of keyframes was completede, repeating above processing procedure,the final keyframes were extracted.finally, Finally ,with the cascades of homography matrix ,the seamless mosaic is rendered by the image blending. The experiment demonstrates this algorithm＇s efficiency.
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