In order to solve the problem of that kernel-based meanshift tracking algorithm is prone to occur

tracking inaccurate or tracking loss when the colors are similar

and at the same time

to improve tracking reliability and accuracy

after analyzing on situation of target tracking in recent years

a Mean Shift tracking algorithm based on block color histogram（ BCH） and direction histogram of gradient（ HOG） is proposed. Among them

BCH contains spatial information of the target and can well cope with deformation. HOG can well solve the influence of illumination changes and shadows. Use standard dataset for testing

the results show that the tracking speed can reach above 80 FPS

which is superior to 1. 7 % and 2. 2 % of TLD and KCF algorithm respectively.