针对不同摄像头的监控视频序列, 提出了一种基于视频帧 SIFT ( Scale Invariant Feature Transform, 即尺度不变特征变换)

特征跟踪的拼接方法。通过 SIFT算法提取帧图像的特征, 并在跟踪的估计区域搜索匹配特征, 从而确定待整合帧之间的变换参数。实验结果表明, 该方法较好实现视频快速拼接, 且对重叠区域小、 形变大、 有运动物体遮挡的视频具有较强的鲁棒性。-Surveillance cameras for different video sequences, a video frame based on SIFT (Scale Invariant Feature Transform, that is scale invariant feature transform) feature tracking on the method. Frame by extracting SIFT features algorithm, and search tracking matching characteristics of the estimated area to be integrated to determine the transformation parameters between frames. Experimental results show that the method is better for video fast stitching, and on the overlap is small, deformation, and have a block of video with moving objects is robust.