Human Behavior Recognition for an Intelligent Video Production System

  • Motoyuki Ozeki
  • Yuichi Nakamura
  • Yuichi Ohta
Conference paper

DOI: 10.1007/3-540-36228-2_143

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2532)
Cite this paper as:
Ozeki M., Nakamura Y., Ohta Y. (2002) Human Behavior Recognition for an Intelligent Video Production System. In: Chen YC., Chang LW., Hsu CT. (eds) Advances in Multimedia Information Processing — PCM 2002. PCM 2002. Lecture Notes in Computer Science, vol 2532. Springer, Berlin, Heidelberg

Abstract

We propose a novelframew ork for automated video capturing and production for desktop manipulations. We focus on the system’s ability to select relevant views by recognizing types of human behavior. Using this function, the obtained videos direct the audience’s attention to the relevant portions of the video and enable more effective communication. We first discuss significant types of human behavior that are commonly expressed in presentations, and propose a simple and highly precise method for recognizing them. We then demonstrate the efficacy of our system experimentally by recording presentations in a desktop manipulation.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Motoyuki Ozeki
    • 1
  • Yuichi Nakamura
    • 1
  • Yuichi Ohta
    • 1
  1. 1.IEMS, University of TsukubaJapan

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