This paper summarizes and classifies the main tracking algorithms under occlusions commonly used at home and abroad,and introduces several kinds of popular tracking algorithms under occlusions based on central weights,part matching,track prediction,and Bayesian theory,respectively.

Nanoscale measurement of MEMS in-plane motion based on block matching;

Motion vector reliability analysis based on block matching;

Real-time digital image stabilization method based on projection algorithm and block matching;

Besides, when there exist moving edges inside a block, the motion homogeneity assumption for block matching algorithm is no longer satisfied.

The block matching algorithm based on MAD (mean absolute difference) is extensively used in the motion estimation.

Then,background image subtraction algorithm was used to get the distinctive block of the car which will be kept tracking with block matching algorithm.

Then, by omitting the checkpoints adjourned and doing hierarchical full block matching, the computational burden is reduced greatly and also the precision of block matching is improved by simple iteration.

The algorithm is a kind of block matching motion estimation algorithm, which adequately utilizes the spatial and temporal correlation of motion vector field.

This calculation can acquire more PSNR than the general motive block match.

Sequential image segmentation based on blob matching;