Moving target tracking in micro-assembly process is a new research direction. Construct a microscopic visual tracking system for microminiature parts

including CCD camera

microscope lens

electric control Yuntai and image processing module. In order to overcome limitations of small microscopic field of view

propose a tracking algorithm combining template matching based on SIFT feature point and Kalman prediction

which realizes template matching in local range by using Kalman prediction and correction and update result of template matching is carried out by using SIFT features. The experimental results show that the proposed tracking algorithm can obtain stable local features of targets and track target accurately

and have a good adaptability to illumination change and imaging blur.