{"title":"Two-degree-of-freedom visual tracking system with image stabilization for mobile platforms","authors":"Qian Jiachen","doi":"10.1109/YAC.2018.8406518","DOIUrl":null,"url":null,"abstract":"A two-degree-of-freedom frame-based visual tracking system with image stabilization function and target tracking function is proposed and designed in this paper. By applying MEMS sensor signal processing technology, micro controller-based stepper motor control and electronic image stabilization technology based on grayscale projection, the system has good stability against large angle changes and high-frequency small-amplitude jitter. By combining the Kalman filter in the CamShift framework, the target tracking performance in the similar background is improved. The designed visual tracking device has good image stabilization performance and can perform continuously stable tracking when the target color is similar to the background.","PeriodicalId":226586,"journal":{"name":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YAC.2018.8406518","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A two-degree-of-freedom frame-based visual tracking system with image stabilization function and target tracking function is proposed and designed in this paper. By applying MEMS sensor signal processing technology, micro controller-based stepper motor control and electronic image stabilization technology based on grayscale projection, the system has good stability against large angle changes and high-frequency small-amplitude jitter. By combining the Kalman filter in the CamShift framework, the target tracking performance in the similar background is improved. The designed visual tracking device has good image stabilization performance and can perform continuously stable tracking when the target color is similar to the background.