The paper describes the integration of several image processing algorithms necessary to recognize a particular color and the movement of an object. The main objective is to detect the object by its color and track it by a mobile robot. Mean filter is applied to soften and sharpen the input image. Then, RGB filter is applied to calculate the center of mass and area of the object and to locate its position in a real environment to develop the robot motion. These algorithms are applied to a mobile robot, in a tested scenario, tracking an object.
Image processing, color recognition, mobile robot.
Roman Osorio, Sinuhé García, Mario Peña, Ismael Lopez-Juarez, Gastón Lefranc, "Movement and Color Detection of a Dynamic Object An Application to a Mobile Robot", Studies in Informatics and Control, ISSN 1220-1766, vol. 21(1), pp. 33-40, 2012. https://doi.org/10.24846/v21i1y201204
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