一种鲁棒的电子稳像系统

基于特征点跟踪的全局运动估计和利用Kalman滤波的运动补偿，提出一种鲁棒的电子稳像系统．首先，提取特征点的局部信息以估计全局运动，其中各特征点的跟踪是通过特征窗匹配来完成的，同时根据特征点集间具有稳定相对位置的结构特征，提出距离准则，对特征匹配进行验证，来去除前景运动点或误匹配点(即局部特征点)．然后，将所有验证后的匹配点对(全局特征点)带入运动模型，并利用Levenberg-Marquardt进行最优化迭代，求出全局运动矢量． 最后，对原始运动矢量序列进行Kalman滤波，提取抖动参数以补偿图像．实验结果表明，该系统可以处理图像序列的平移、旋转和缩放等抖动，并且对于场景中的局部运动有良好的鲁棒性．

Electronic image stabilization system based on global features tracking

This paper presents a robust video stabilization system with feature points tracking based global motion estimation and Kalman filtering based motion compensation.First,global motion is estimated from the local motions of selected feature points,each of which is tracked using feature window matching.Considering the stable relative positions between points' sets,the distance criterion is proposed to make matching validation,which would delete moving points or mismatched points(i.e.,local features).Then,the global motion vector is decided to sub-pixel accuracy by substituting all validated pairs(i.e.,global features) into a motion model and refined by the Levenberg-Marquardt method.Finally,the global motion parameters are accumulated to be Kalman filtered for correction.The experimental result illustrates that the proposed system is effective to stabilizing translational,rotational and zooming jitter and robust to local motions.