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Conference Paper
Fusion Technique for User Identification Using Camera and Microphone in the Intelligent Service Robots
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- Authors
- Kyu-Dae Ban, Keun-Chang Kwak, Ho-Sub Yoon, Yun-Koo Chung
- Issue Date
- 2007-06
- Citation
- International Symposium on Consumer Electronics (ISCE) 2007, pp.1-6
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- 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 MelFrequency Cepstral Coefficients (MFCC) as feature vector for speaker recognition. The weighted sum method is used to fuse cosine similarity and loglikelihood 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.
- KSP Keywords
- Cosine similarity, Face pose, Feature Vector, GMM classifier, Gaussian mixture Model(GMM), Intelligent Service Robot, Mel-Frequency Cepstrum Coefficients(MFCC), Robot platform, User Identification, Weighted Sum Method, cepstral coefficients