Implementation of Robot Visual Tracking System Based on Rough Set Theory

The visual tracking technology is one of the important parts of robot visual technologies. It plays important actions in the research of intelligent robots, intelligent building and robot football. It extracts parameters of object by employing methods of image processing, and then tracks the object. An object tracking method based on image segmentation with RGB and HSV models and rough set minimal rule set achieved by using reduction algorithm of rough set theory,which is used to control the camera, is presented for tracking a particular object. The experimental results show that the method is effective and robust.

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