基于特征点运动矢量估计的动态序列图像运动目标跟踪

提出了一种改进的特征点运动矢量估计方法，用于动态序列图像中的运动目标跟踪。首先利用改进的最小亮度变化算法提取特征点；然后通过自适应的十字模式搜索法确定这些特征点的匹配点。在RANSAC方法的基础上，利用运动背景的仿射变换参数实现运动背景的补偿。最后利用合理的形态滤波技术，运动目标将完整地从背景中提取出来并实现准确跟踪。实验结果表明，改进的方法可以成功完成运动背景的补偿，并为动态序列图像的运动目标跟踪提供了保证。

MOVING OBJECT TRACKING IN DYNAMIC IMAGE SEQUENCE BASED ON ESTIMATION OF MOTION VECTORS OF FEATURE POINTS

An improved estimation of motion vectors of feature points is proposed for tracking moving objects of dynamic image sequence.Feature points are firstly extracted by the improved minimum intensity change (MIC) algorithm.The matching points of these feature points are then determined by adaptive rood pattern searching.Based on the random sample consensus (RANSAC) method, the background motion is finally compensated by the parameters of an affine transform of the background motion.With reasonable morphological filtering, the moving objects are completely extracted from the background, and then tracked accurately.Experimental results show that the improved method is successful on the motion background compensation and offers great promise in track-ing moving objects of the dynamic image sequence.