Image Based Centre Object Calculation Using Coordinate Averaging Method For Object Following Mobile Robot

A. Kurniawan, Hendrawan, E. Mulyana, Kholilatul Wardani
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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).
基于图像的目标跟踪移动机器人中心目标坐标平均计算
关于机器人视觉的研究越来越多,越来越多的研究集中在利用图像处理算法来增强移动机器人对周围环境的感知能力。这项研究使用Kinect传感器,它有2个摄像头,一个RGB可见光和红外相机/深度相机,都是640×480像素,每秒30fps(帧每秒)。在安装Kinect传感器1.0的四轮驱动差动移动机器人底盘上应用对象跟踪方法,运行速度为640×480像素,30fps。采用像素坐标平均的方法,将感兴趣对象的所有像素坐标相加。每次计算(垂直和水平)都将产生i或j中的坐标的单个整数值,以显示对象的中心。两个使用对称和非对称的测试对象显示,中心对象在j轴上只稍微移动了大约1个像素。j轴上对称对象的计算结果为9(向下舍入),非对称对象的计算结果为8(向上舍入)。与I轴上的计算类似(在pixe114上)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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