Sujeong You, P. H. Truong, S. Ji, S. M. Lee, Chang-Eun Lee, Young-Jo Cho
{"title":"A cooperative multi-camera system for tracking a fast moving object","authors":"Sujeong You, P. H. Truong, S. Ji, S. M. Lee, Chang-Eun Lee, Young-Jo Cho","doi":"10.1109/CYBER.2014.6917450","DOIUrl":null,"url":null,"abstract":"This paper presents an economic real-time system for tracking a fast moving object using adjacent inexpensive multiple web cameras. Our experimental system includes three cameras that integrated into three client computers, and an acquisition sever computer that receives information from the clients and estimates the object speed in real-time. In this system, the three client computers play the role of monitor stations that detect the object, calculate the object position and capture the moment of a successful detection. From information of clients, the server estimates the relative positions of the object in each detection event to calculate the instantaneous velocities of the object. Finally, the speed of the object is determined by its average velocity in its all trajectory. The experimental results perform an accurate measurement on the setup environment.","PeriodicalId":183401,"journal":{"name":"The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBER.2014.6917450","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper presents an economic real-time system for tracking a fast moving object using adjacent inexpensive multiple web cameras. Our experimental system includes three cameras that integrated into three client computers, and an acquisition sever computer that receives information from the clients and estimates the object speed in real-time. In this system, the three client computers play the role of monitor stations that detect the object, calculate the object position and capture the moment of a successful detection. From information of clients, the server estimates the relative positions of the object in each detection event to calculate the instantaneous velocities of the object. Finally, the speed of the object is determined by its average velocity in its all trajectory. The experimental results perform an accurate measurement on the setup environment.