光流场的递推估计方法

A method lor Recursively Estimating Optical Flow Field

本文提出了一种基于特征的递推估计光流场的方法。分析了三维运动物体透视投影的特性并建立了相应的动态模型;利用图象序列中每帧图象上的一对或多对匹配点做为观测量,递推地估计有关的运动参数,然后讨论了由匹配点向投影的其余部分传播运动的两种分配方式:直接式和动态规划式。实验表明:本方法虽需较长的图象序列但只用很少的匹配点;即使在信噪比很小的条件下,仍然是高效和稳健的。

A token-based method for recursively estimating optical flow from a noisy image sequence is presented. Motion characteristics of the perspective projection of 3-D moving object are analyzed and a dynamic model is relevantly built. By taking a pair of or more matching points as the measurement, the recursive estimates of the relevant motion parameters are achieved. Two schemes for motion propagation of the match points, the direct one and the programming one, are discussed, The experiments show that this method needs longer image sequence but rather few match points. It is efficient and robust even in very low SNR conditions.