NDLI: Fusion Technique for User Identification Using Camera and Microphone in the Intelligent Service Robots

Content Provider	IEEE Xplore Digital Library
Author	Kyu-Dae Ban Keun-Chang Kwak Ho-Sub Yoon Yun-Koo Chung
Copyright Year	2007
Description	Author affiliation: Univ. of Sci. & Technol., Daejeon (Kyu-Dae Ban)
Abstract	In this paper, the user identification based on face and speaker information obtained from camera and microphone for the intelligent service robot is proposed. For this purpose, we use fisherface method for face recognition. The choice of the fisherface method in this setting is motivated by its insensitivity to large variation in light direction, face pose, and facial expression. Furthermore, we utilize Gaussian Mixture Model (GMM) classifier which uses a Mel-Frequency Cepstral Coefficients (MFCC) as feature vector for speaker recognition. The weighted sum method is used to fuse cosine similarity and log- likelihood produced from fisherface and GMM classifier, respectively. The experimental results reveal that the presented fusion method showed a better performance than fisherface and GMM classifier itself through the research robot platform called WEVER developed in ETRI.
Starting Page	1
Ending Page	6
File Size	354677
Page Count	6
File Format	PDF
ISBN	9781424411092
DOI	10.1109/ISCE.2007.4382185
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robot vision systems Smart cameras Microphones Intelligent robots Service robots Face recognition Cepstral analysis Mel frequency cepstral coefficient Speaker recognition Fuses Face Recognition Intelligent Service Robot Fisherface GMM Speaker Recognition
Content Type	Text
Resource Type	Article

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