快速稳健的背景运动场估计方法

从运动背景中检测与跟踪运行目标是计算机视觉研究领域的热点，其中的困难之一是消除运动背景的影响，提出一种基于均匀稀疏采样减少仿射变换参数估计计量的快速方法，并且利用Huber函数对误差的敏感度不同的特性，使得背景的仿射参数估计过程只对背景像素点敏感，减少了前景运动物体对参数估计造成的误差，提高参数估计的精度。

Fast and robust method for background motion estimation

The background motion presented in the image sequence normally consists of complex motion patterns and is affected by local moving objects. In this paper, a new method to estimate the affine modal parameters based on even sampled pixel blocks in frames is presented. It leads to great reduction in computational load. In order to estimate the background motion using only the background pixels and reduce the influence of moving objects to a great extend, Huber function is considered to discriminate between the background pixels and the foreground pixels. Experiment results show that it is a fast and robust method.