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

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).

[1]  Jeff Kramer,et al.  Hacking the Kinect , 2012, Apress.

[2]  Michael Riis Andersen,et al.  Kinect Depth Sensor Evaluation for Computer Vision Applications , 2012 .

[3]  Aditya Kurniawan,et al.  Kinect Structural Noise Elimination Technique For ITIS Mobile Robot Data Collector , 2018, International Journal of Engineering & Technology.

[4]  Gaurav S. Sukhatme,et al.  The Path to Autonomous Robots , 2009 .

[5]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[6]  E. Moore Jean , 1944 .

[7]  E.E. Pissaloux,et al.  Image Processing , 1994, Proceedings. Second Euromicro Workshop on Parallel and Distributed Processing.

[8]  Wilhelm Burger,et al.  Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.

[9]  Jarrett Webb,et al.  Beginning Kinect Programming with the Microsoft Kinect SDK , 2012, Apress.

[10]  Eueung Mulyana,et al.  ROI Based Post Image Quality Assessment Technique on Multiple Localized Filtering Method on Kinect Sensor , 2018, 2018 12th International Conference on Telecommunication Systems, Services, and Applications (TSSA).