Earticle

초록

영어

In the domain of Human-Computer Interaction (HCI), the main focus of the computer is to interpret the external stimuli provided by users. Moreover in the multi-person scenar- ios, it is important to localize and track the speaker. To solve this issue, we introduce here a framework by which multi-modal sensory data can be eciently and meaningfully com- bined in the application of speaker tracking. This framework fuses together four dierent observation types taken from multi-modal sensors. The advantages of this fusion are that weak sensory data from either modality can be reinforced, and the presence of noise can be reduced. We propose a method of combining these modalities by employing a particle lter. This method oers satised real-time performance. We demonstrate results of a speaker localization in two- and three-person scenarios.

목차

Abstract
 1: Introduction
 2: The Proposed Approach
  2.1: Video Modality
  2.2: Audio Modality
  2.3: Particle Filter Implementation
 3: Experimental Results
 4: Conclusions and Future Work
 Acknowledgments
 References

키워드

저자

• Anwar Saeed [ Institute for Electronics, Signal Processing and Communications (IESK) Otto-von-Guericke-University Magdeburg ]
• Ayoub Al-Hamadi [ Institute for Electronics, Signal Processing and Communications (IESK) Otto-von-Guericke-University Magdeburg ]
• Michael Heuer [ Institute for Electronics, Signal Processing and Communications (IESK) Otto-von-Guericke-University Magdeburg ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605