This paper presents a correlation tracking algorithm based on correlation coefficient

which overcomes the disadvantages of traditional correlation tracking based on point-to-point multiple with accumulation and has the advantages of good accuracy and high stability. At the same time

many measures are put forward to improve the speed of the algorithm

which resolve the requirement of real-time of object tracking. And during the object-tracking

there may be many changes in a sequence of the object images

therefore

a reasonable strategy of template updating will be the key of the object-tracking problem. On the basis of the similarity measurement and template buffers

a suitable template updating strategy is given

which effectively decreases the accumulation of the object-tracking error

and greatly improves the stability of the object-tracking. The failure judgement of object-tracking presented effectively resolves the transitory failure of tracking

caused by sudden changes

such as the changes between the dark and the bright

or the tracked object is covered temporarily. The experiments show the solution decreases the complex of correlation tracking

and has the advantages of good accuracy and high speed as well. Now this algorithm has been applied to real-time object-tracking system.