ICGST- ARAS Journal 

ARAS
  Volume (09) - Issue I ICGST

A Robotic System for Intelligent Real Time Face Recognition

 G. Capi

Department of Electrical and Electronic Systems Eng., Faculty of Engineering, University of Toyama, Toyama, 3190 Gofuku, Toyama,  Japan

Abstract
This paper presents a new robotic system for face detection and recognition. Our approach focuses on the application of human robot interaction, where people may be further away from the camera and move freely around in the room. Our robotic system has two cameras: one with a wide range, which is used for face detection and tracking and the other one with a narrow range used to extract the face parameters. The face recognition is implemented using neural networks, which are trained to distinct if the person is part of the database or not. The effectiveness of the proposed model is validated experimentally using a robotic system.

 Keywords: Face Recognition, Neural Network, Robot Head.

(Full Paper, 1.46 MB)

 

@ARTICLE{P1130931822,

AUTHOR = {G. Capi},

TITLE = {A Robotic System for Intelligent Real Time Face Recognition},

JOURNAL = {ICGST  International Journal on Automation, Robotics and Autonomous Systems},

YEAR = {2009},

VOLUME = {09},

ISSUE={I},

PAGES={25--29}

}

(Full Paper, 1.46 MB)