標題: Face recognition and tracking for human-robot interaction
作者: Song, KT
Chen, WJ
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: face recognition;home robots;visual tracking;RBF neural networks
公開日期: 2004
摘要: This paper presents a design and experimental study of human-robot interaction via face recognition and image tracking. A new architecture is proposed for fast face recognition of family members. In the proposed system, each family member has his/her own RBF neural networks. Each neural network is only responsible for recognizing its trained member. Consequently, the database is small and the processing time required for face recognition is minimized. A recognition rate of 94% has been achieved, an improvement relative to conventional approaches. In order to detect and track a person, we also developed an algorithm for detecting multiple faces in a scene based on division of skin and hair color regions. The face recognition and image tracking system has been integrated to an experimental mobile robot. Practical experiments reveal that the robot demonstrates real-time face recognition and tracking performance.
URI: http://hdl.handle.net/11536/18196
ISBN: 0-7803-8566-7
ISSN: 1062-922X
期刊: 2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7
起始頁: 2877
結束頁: 2882
顯示於類別:會議論文