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A new target tracking algorithm is proposed that combines the modified CamShift algorithm with Kalman filter, aiming at several problems occurred in target tracking, such as the moving target being covered, and the target being interfered by similar background. In order to overcome the shortages of target loss due to the moving target being covered, the search window of the traditional CamShift algorithm is improved and the size of searching window is adjusted adaptively, so that the moving target is located in the search window. When the moving target is interfered by similar background, the target is lost. In order to increase the tracking accuracy, Kalman filter is used for estimating the position of the moving target which is used as the center location of search window in the next frame. An improved CamShift target tracking software module is developed using C ++ language, and the algorithm flow of the module is given. The experimental results show that the proposed algorithm can overcome the default of the traditional CamShift algorithm and improve the performance and accuracy of target tracking and location. This algorithm can be applied to the field of moving car tracking, face recognition etc.