{"title":"An Improved Kalman Filtering Algorithm for Moving Contact Detecting and Tracking","authors":"Xiuqin Deng, Weijia Cai, Chengyan Fang, Weiqing Kong, Jia Liao","doi":"10.1109/CIS.2013.56","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":294223,"journal":{"name":"2013 Ninth International Conference on Computational Intelligence and Security","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Ninth International Conference on Computational Intelligence and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS.2013.56","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
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.
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