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This paper is in the context of algorithms for detection and face recognition, as well as face tracking, integrating them into service robots at home, this paper was made for service robot “Donaxi”, to the contest in RoboCup. The proposal was to set up a hybrid algorithm with different functional algorithms for the detection, recognition and face tracking, even after losing face. For detection we used the Haar algorithm, for tracking Kalman filter was used, and recognition strategy was used to segment the image into regions weighted, and discriminate against them through a decision tree for possible recognition. The experimental results show that the system is stable when saturated its field of view with many faces or persons, in this case only discriminate which is closer to the robot. It is noteworthy that followed the rules of test “Who's Who” of the category of the RoboCup at Home, this test is still an open problem for the robotics community in the area of Human-Robot Interface.
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