CMT跟踪算法笔记

作者网站链接:http://www.gnebehay.com/cmt/

算法简介:The main idea behind CMT is to break down the object of interest into tiny parts, known as keypoints.In each frame, we try to again find the keypoints that were already therein the initial selection of the object of interest.We do this by employing two different kind of methods.First, we track keypoints from the previous frame to the current frame by estimatingwhat is known as itsoptic flow.Second, we match keypoints globally by comparing theirdescriptors.As both of these methods are error-prone, we employ a novel way of looking for consensus withinthe found keypoints by letting each keypoint vote for the object center.英文更容易理解啊

算法流程图:

还有一个解释的比较好的blog,留个记号先

http://blog.csdn.net/songrotek/article/details/47662617

刚刚又看了一遍,这个人写的比较深入,好好研究下

http://blog.csdn.net/songrotek/article/details/47775131