A. Kurniawan, Hendrawan, E. Mulyana, Kholilatul Wardani
{"title":"Image Based Centre Object Calculation Using Coordinate Averaging Method For Object Following Mobile Robot","authors":"A. Kurniawan, Hendrawan, E. Mulyana, Kholilatul Wardani","doi":"10.1109/IRCE.2019.00010","DOIUrl":null,"url":null,"abstract":"Research about robot vision is growing and more focusing on using image processing algorithm to enhance the sensing ability of a robot mobile to aware about its surroundings. This research using Kinect sensor which has 2 cameras, one RGB visible light and IR camera / depth camera both with 640×480 pixels at 30fps (frame per second). An object following method is applied on a 4WD differential mobile robot chassis equipped with Kinect sensor 1.0 running at 640×480 pixels, 30fps. The method using pixel coordinate averaging which summing all the pixel coordinate of the object of interest. Each calculation (vertical and horizontal) will result in a single integer value of coordinate in i or j showing the center of the object. Two tests object using symmetrical and non-symmetrical shows that the center object only moves slightly off about 1 pixel on j axis. The result of the calculation for symmetrical object on j axis is 9 (rounded down) and for the non-symmetrical object is 8 (rounded up). with the calculation on i axis is similar (on pixe114).","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRCE.2019.00010","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
Research about robot vision is growing and more focusing on using image processing algorithm to enhance the sensing ability of a robot mobile to aware about its surroundings. This research using Kinect sensor which has 2 cameras, one RGB visible light and IR camera / depth camera both with 640×480 pixels at 30fps (frame per second). An object following method is applied on a 4WD differential mobile robot chassis equipped with Kinect sensor 1.0 running at 640×480 pixels, 30fps. The method using pixel coordinate averaging which summing all the pixel coordinate of the object of interest. Each calculation (vertical and horizontal) will result in a single integer value of coordinate in i or j showing the center of the object. Two tests object using symmetrical and non-symmetrical shows that the center object only moves slightly off about 1 pixel on j axis. The result of the calculation for symmetrical object on j axis is 9 (rounded down) and for the non-symmetrical object is 8 (rounded up). with the calculation on i axis is similar (on pixe114).