Abstract
We propose a system for detection and tracking of face in dynamic and changing environments from a camera mounted on a walking robot. The proposed system is based on the principal component analysis (PCA) technique. For the detection of a face, first, we use a skin color information and motion information. Thereafter, we verify that the detected regions are indeed the face using the PCA technique. The tracking of a face is based on the Euclidian distance in eigenspace between the previously tracked face and the newly detected faces. Walking robot control for the face tracking is done in such a way that the detected face region is kept on the central region of the camera screen by controlling the robot motion. The proposed system is extensible to other walking robot systems and gesture recognition systems for human-robot interaction.
This work is financially supported by the Ministry of Education and Human Resources Development(MOE) and the Ministry of Commerce, Industry and Energy(MOCIE) through the fostering project of the Industrial-Academic Cooperation Centered University.
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© 2005 Springer-Verlag Berlin Heidelberg
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Jung, D.J., Lee, C.W., Kim, H.J. (2005). Detection and Tracking of Face by a Walking Robot. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492429_61
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DOI: https://doi.org/10.1007/11492429_61
Publisher Name: Springer, Berlin, Heidelberg
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