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一种基于人脸识别与脸部朝向估计的新型交互式环绕智能显示技术(英文) 被引量:4

A New Interactive Display Technique Based on Face Recognition and Face Orientation Estimation Applied to Ambient Intelligence (AmI)
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摘要 介绍了环绕智能(简称为AmI)的概念和一种新型的交互式的环绕智能显示应用技术。首先,作者介绍了环绕智能系统的机理和一些具体的技术问题。系统采用了基于隐马尔可夫模型的人脸识别算法进行用户身份的识别,以实现个性化的服务目标,实验结果表明该方法是十分有效的。这样用户身份可以通过人脸识别的方法加以确定,然后通过LCS(学习分类器)技术提供个性化的服务。另一方面,我们采用了小波分析和模版匹配技术来估计用户的基本脸部朝向状态,以驱动视频投影机旋转到与人脸朝向一致的方向。总之,文中描述的研究成果将可能应用于智能会议或智能教学环境。 The conception of Ambient Intelligence (AmI) and an new interactive display technique applied to AmI application are introduced here. First of all, the mechanism of our AmI system and several idiographic technique issue is expounded stepwise. For providing personalized service an algorithm of face recognition based on Hidden Markov Model is researched and the experimental results show efficient. In this way the user can be identified by the method of face recognition, and the system with a LCS(learning classifier system) can provide personalized services. Otherwise, we adopt the wavelet analysis and template matching technique to estimate the user's several basic face orientation, thus the video projector is driven to rotate toward the same direction. In sum, the study described here is likely to be used in the intelligent meeting or teaching environment.
出处 《电子器件》 CAS 2008年第1期359-364,共6页 Chinese Journal of Electron Devices
基金 国家自然科学基金资助(90407017) 北京自然科学基金资助(KZ200510005006)
关键词 环绕智能 隐马尔可夫模型 人脸识别 脸部朝向估计 小波分析 Ambient Intelligence Hidden Markov Model face recognition face orientation estimation wavelet analysis
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参考文献10

  • 1Weber W, et al. Ambient intelligence-Key Technologies in the Information Age[C]//IEEE International Conference on Electron Devices, 8-10 Dec. 2003:111-118.
  • 2ISTAG, Scenarios for Ambient Intelligence in 2010[EB/OL], Online: http://www.cordis. lu/istag. htm.
  • 3Aarts E. Ambient Intelligence: a Multimedia Perspective[J], IEEE Multimedia, IEEE, 2004 : 12-19.
  • 4Wang Yi-min, Chen Xu-hui, Cheng Liang, Qin Xue. Architecture of the Smart Home Network in Ambient Intelligence[J], Journal of Computer Engineering and Design, Beijing, China, 2005, 5:38-41.
  • 5Yong Zhang, et al. A Context-Aware AmI System Based on MAS model[C]//Proc. of IEEE IIHMSP 2006, Pasadena, USA, 2006: 703-706.
  • 6Nefian Ara and Hayes Ⅲ Monson H. Hidden Markov Models for Face Recognition[C]//Proc. ICASSP 98, 5:2721-2724.
  • 7Lawrence R. Rabiner. A Tutorial on Hidden Markov Models and Selected Application in Speech Recognition[J], Proc. of IEEE, 1989,77(2): 257-286.
  • 8Platt J . Fast training of Support Vector Machines Using Sequential Minimal Optimization A[C]//Sch Elkopf B, Burges C J C , Smola A J , eds. Advances in Kernel Methods 2 Support Vector Learning M. Cambridge, MA: MIT Press, 1998.
  • 9Yang Fusheng, Wavelet Tranforrnation for Engineer Analysis and Application[M]. Beijing: Science Publisher, 2000: 213-241.
  • 10Smith S M and Brady J M, “ASSERT-2: Real-Time Motion Segmentation and Shape Tracking[J]. IEEE. Trans. Part. Anal. Machine Intell. , 1995, 17 (8) : 814-820.

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