Abstract
Because the assembly process of target identification and tracking technology are rarely involved, introducing target tracking technology into microscopic visual field is of great significance. The paper constructs the microminiature parts motion tracking platform based on microscopic visual. In order to overcome the limitations of small microscopic visual image view, it proposes a tracking algorithm combining a template matching with SIFT feature-based and Kalman prediction, which realizes the local template matching by using Kalman prediction and template update by using SIFT features. Experiment results show that the system can realize the dynamic tracking of small parts and meet the real-time performance and stability.
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