Research on target tracking problem based on Meanshift algorithm

Reference: http://www.cnblogs.com/tornadomeet/archive/2012/03/15/2398769.html

As a feature-based tracking method, the basic idea of meanshift algorithm is to search for the most dense region of sample point in the feature space by iterative iteration, and the search point "drifts" to the local density pole along the direction of the sample point density increase.
Big Point. This method of accurately locating the target by finite iteration has the advantage of little computational amount and can be tracked in real time when the target area is known.

Research on target tracking problem based on Meanshift algorithm