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Method for video background subtraction using factorized matrix completion

机译:基于分解矩阵完成的视频背景减法方法

摘要

A method processes a video acquired of a scene by first aligning a group of video images using compressed domain motion information and then solving for a low rank component and a sparse component of the video. A homography map is computed from the motion information to determine image alignment parameters. The video images are then warped using the homography map to share a similar camera perspective. A Newton root step is followed to traverse separately Pareto curves of each low rank component and sparse component. The solving for the low rank component and the sparse component is repeated alternately until a termination condition is reached. Then, the low ranks component and the sparse component are outputted. The low rank component represents a background in the video, and the sparse component represents moving objects in the video.
机译:一种方法通过首先使用压缩域运动信息对齐一组视频图像,然后求解视频的低秩分量和稀疏分量,来处理场景的视频。根据运动信息计算单应性图以确定图像对准参数。然后,使用单应性图使视频图像变形以共享相似的摄像机视角。遵循牛顿根步骤,分别遍历每个低秩分量和稀疏分量的帕累托曲线。交替重复求解低秩分量和稀疏分量,直到达到终止条件为止。然后,输出低秩分量和稀疏分量。低等级分量表示视频中的背景,而稀疏分量表示视频中的运动对象。

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