Yunting Pang, Qiang Huang, X. Quan, Juan Zheng, Xiaobing Wu
{"title":"Fast object location and tracing using two CCD cameras and laser range finder","authors":"Yunting Pang, Qiang Huang, X. Quan, Juan Zheng, Xiaobing Wu","doi":"10.1109/ICIA.2005.1635114","DOIUrl":null,"url":null,"abstract":"Locating and tracing a moving object rapidly is an important capability for a robot. This paper proposes a method for fast object location and tracing using two CCD cameras and laser range finder which can get the information of position of an object rapidly and trace the moving object in real time. The two CCD and the laser are mounted on a 2-DOF robot head and the computer system consists of two computers and a Memolink communication. The segmentation is done by using the offline threshold of the local color image of the object. The laser is used to obtain depth information of the object. The high speed and accuracy of the proposed method is confirmed by experiments.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"170 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE International Conference on Information Acquisition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIA.2005.1635114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Locating and tracing a moving object rapidly is an important capability for a robot. This paper proposes a method for fast object location and tracing using two CCD cameras and laser range finder which can get the information of position of an object rapidly and trace the moving object in real time. The two CCD and the laser are mounted on a 2-DOF robot head and the computer system consists of two computers and a Memolink communication. The segmentation is done by using the offline threshold of the local color image of the object. The laser is used to obtain depth information of the object. The high speed and accuracy of the proposed method is confirmed by experiments.
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