中文摘要：

给出一种视频时空配准的整体方法，提出一种视频内匹配与视频间匹配相结合的空间配准策略，改进动态时间扭曲方法以用于时间维的对齐，视频内匹配跟踪视频内各帧图像的特征点并记录其轨迹，视频间匹配配准不同视频的帧图像，使用轨迹对应提供图像配准所需的初始特征点对应，根据图像配准得到的特征点对应建立和更新轨迹对应，该匹配策略充分利用了视频的连贯性提高了匹配的稳定性和效率，同时提高了配准视频的连贯性。改进的动态时间扭曲方法通过极小化两段视频的整体距离建立视频之间的帧对应关系，保持视频内部各帧之间的时序关系并能处理非线性偏移．给出的方法能成功匹配独立运动相机在不同时刻拍摄关于同一场景不同目标的视频，实验结果表明利用整体匹配方法，匹配的稳定性与效率和配准视频的连贯性都得到很大的提高。

英文摘要：

This paper presents a new framework for spatiotemporal alignment of two video sequences. It proposes Intra-video and inter-video matching strategy for spatial alignment; modifies Dynamic Time Warping for temporal alignment. Intra-video matching tracks feature points and binds them together. Contextual inter-video matching uses track correspondences to provide initial feature correspondences for inter-video frame matching and updates track correspondences using frame-matching results. The proposed matching strategy makes best use of coherency of source videos and improves coherency of aligned video, stability and efficiency of alignment. The Modified Dynamic Time Warping establishes frame correspondences by minimizing global differences between them, keeps temporal order of frames, and handles nonlinear misalignment of videos. The proposed method can successfully align videos viewing different events recorded by, independently moving cameras. Experimental results and comparison show that great improvements on stability and efficiency of video matching together with coherency of aligned video are reached.