The analysis method of video camera's motion based on optical flow and slam

Pan Wang, Chen Chen, Chunyan Dong, Haojun Xu, Feng Tian
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引用次数: 5

Abstract

This paper presents a method of video shot motion analysis based on LK optical flow method to solve the problem of film video shot motion of visual comfortable effect. A segmentation method based on footage of two class support vector machine classification is used. The optical flow method based on the hierarchical Lucas-Kanade in Pyramid combined with SLAM Algorithm to extract the motion information of the lens is used. Then the motion type of the shot is analyzed. Experimental results show that the method is not only able to achieve a good shot segmentation, but also the segmentation of the shot can be a good analysis of the results. Compared to the traditional optical flow method, the method has a higher accuracy. Finally it can analysis a movie, and get the distribution of different shots in the movie.
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基于光流和冲击的摄像机运动分析方法
本文提出了一种基于LK光流法的视频镜头运动分析方法,以解决电影视频镜头运动的视觉舒适效果问题。采用基于两类支持向量机分类的图像分割方法。采用基于金字塔中Lucas-Kanade分层的光流法结合SLAM算法提取透镜的运动信息。然后分析了镜头的运动类型。实验结果表明,该方法不仅能够实现较好的镜头分割,而且对镜头的分割结果也能进行较好的分析。与传统的光流法相比,该方法具有更高的精度。最后,它可以分析一部电影,得到电影中不同镜头的分布。
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