基于直线边缘特征匹配的扩展目标跟踪方法

Extended Object Tracking Method Based on Straight-Line Edge Feature Matching

为了稳定而精确地跟踪扩展目标,提取相邻两帧图像中扩展目标的所有直线边缘征,计算两帧中所有直线的相对斜率、相对倾角和相对截距进行匹配来确定跟踪位置。通过计算相邻帧之间交点描述子的欧氏距离找到最佳匹配,计算出所有交点的重点作为跟踪位置来实现扩展目标跟踪。实验中该方法在扩展目标的跟踪中有非常好的表现,其结果表明在不发生太大变形的情况下,都可以比普通的模板匹配跟踪有更好的稳定性和更精确的跟踪位置。

In order to track the extened object stably and precisely,firstly,all straight-line edge features in extended object between neighboring frames are extracted and every intersection of straight-line feature edge can be described by slopes,obliquities and intercepts of two straight lines,then the intersections are matched between neighboring frames by computing the Euclidean distance minimum of descriptors,finally the centroid of intersections is considered as the tracking position. Experimental results show that the method has an excellent performance in the object tracking. If the object does not transform greatly,the tracking method is more stable and more precise than ordinary template matching method.