An Improved Kalman Filtering Algorithm for Moving Contact Detecting and Tracking

Based on the optical touch platform, this research firstly analyzes the principle of contact detecting and puts forward a method for single contact identifying and positioning. Secondly, facing the problems such as the disconnection often occurring in the process of user´s fast lineation by the traditional contact positioning method, we have introduced the Kalman filtering algorithm for tracking the contact movement and have improved the model of the contact moving system to increase the dimensionality of the moving system state. The simulation test result on the OpenCV Platform has shown that the improved Kalman filtering algorithm can effectively enhance the tracking effect of the moving contact.