This paper proposes a novel adaptive template updating method with continuous variational spatial-temporal characteristics, which is utilized as a part of visual object tracking in the measurement process of the vision measurement system. The measurement system is set up by cameras and turntables to catch the profile of a moving object in largescale space. Among all steps, the proposed method is applied to positioning the object. In order to enhance the spatial constraints of the tracking algorithm to make the measurement results more reliable, the Average Peak-to-Correlation Energy (APCE) whose property includes spatial information is used as a part of the learning rate in the template updating step. Experiments show that the results calculated by the proposed method have a smoother profile. With the comparison of the fixed distances measured by Leica T-Mac, the proposed method applied in the system performed higher accuracy.
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