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Mobile robot control using face recognition algorithms

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3 Author(s)
Pustianu, A.I. ; Fac. of Autom. Control, Comput., Electr. & Electron. Eng., Dunarea de Jos Univ. of Galati, Galati, Romania ; Serbencu, A. ; Cernega, D.C.

In this paper is presented an algorithm to detect human faces using the orthogonal projection principle PCA (Principal Component Analysis) and a neural network classifier trained offline with a set of training images acquired from a webcam as well as from the CBLC and Manchester databases. The algorithm for the detection and tracking of faces will be implemented in a Visual C + + application, which will be tested on the mobile robot. The purpose of this paper is to implement an image processing algorithm in robotics thus making a human-robot interaction. The experimental results have been achieved on the PeopleBot, a two-wheeled differently driven mobile robot with a castor wheel for stability.

Published in:

System Theory, Control, and Computing (ICSTCC), 2011 15th International Conference on

Date of Conference:

14-16 Oct. 2011