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The intention of this research is achieve an accurate stereo visual tracking and measurement system. The emphasis of this application lies in the KAZE feature, a novel image matching algorithm, Kalman prediction for target tracking. The result of KAZE comparison experiment indicates that comparing the traditional feature extraction algorithm matching algorithm KAZE has higher match ratio and better robustness. The application of Kalman prediction algorithm with KAZE in stereo visual tracking and measurement system under Visual Studio environment shows that the prediction accuracy of binocular tracking has been improved, and achieve better accuracy in the medium-long range.