The Estimation of Motion Parameters and Dynamic Mosaic Representation for Videos
视频图像序列运动参数估计与动态拼接

In this paper,we use a double hierarchical algorithm for estimating motion parameters, and a new motion segmentation method for dynamic mosaicking is proposed for creating mosaics with moving objects,which considers a moving camera. Our method consists of five main steps. In the first step,we get a initial motion mask as the result of an initial classification in the process of global motion estimation. By the second step,a image spatial segmentation algorithm uses a hierarchical and bottom-up strategy,and region merging is performed again according to temporal information of video. In the third step,we present a new method for region classification,which combines the initial motion mask and the image spatial segmentation result. By the fourth step,the precision of global motion parameters is improved using the result of region classification. In the final step,the images are composited into a panoramic mosaic. Our method can get accurate motion segmentation and region classifications as a result of the advantage of the double hierarchical algorithm and fully using spatiotemporal information in the video. Our method can also avoid inaccuracies in occlusion areas, and addresses the problem of getting a blurred and discontinuous mosaic. Experimental results show that our method achieves the aim of the creation of high quality panoramic mosaics for videos in the presence of moving objects.