Lecturer Localization and Identification in a Smart Environment

نویسندگان

  • Hazim Kemal Ekenel
  • Kai Nickel
  • Rainer Stiefelhagen
چکیده

In this paper, an intelligent system that can locate and identify the lecturer in a smart environment is presented. The purpose of the presented system is to provide technologies that can assist the lecturer during his/her presentation and to facilitate lecture retrieval by means of the identity of the lecturer. The system consists of two main building blocks, a robust face detector based 3D position generation fusing 2D face locations from multiple camerasand a novel face identification system that utilizes data coming from multiple cameras and video. The performance of the system is tested on the seminar data collected under the CHIL project.

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تاریخ انتشار 2005