To solve tracking drift problem of tracking algorithm

a gesture tracking method is proposed by combining tracking-learning-detection（TLD） algorithm with Kalman filtering.After tracker tracks successfully

blocking out decision is utilized through adding identification window.Target model is no longer updated

when generating blocking out

and ensemble classifiers is not updated by learner.Processed by TLD learner during partial blocking out;target trajectory is predicted by Kalman filtering during severe blocking out.This method not only retains long-term stability of TLD tracking algorithm

and adapt to fast camera motion

but also overcomes tracking drift problem of target blocking out.Experimental results show that the proposed improved TLD algorithm has more excellent performance than other tracking methods.