Title page for etd-0724101-130917


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URN etd-0724101-130917
Author Shih-Huai Du
Author's Email Address shtu0218@yahoo.com.tw
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Department Electrical Engineering
Year 2000
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title A Neuro-Fuzzy Approach to Detection of Human Face and Body for MPEG Video Compression
Date of Defense 2001-06-27
Page Count 55
Keyword
  • Video Objects
  • Neuro-Fuzzy modeling
  • MPEG-4
  • MPEG-7
  • Abstract For some new multimedia applications using Mpeg-4 or Mpeg-7 video coding standards, it is important to find the main objects in a video frame. In this thesis, we propose a neuro-fuzzy modeling approach to the detection of human face and body. Firstly, a fuzzy clustering technique is performed to segment a video frame into clusters to generating several fuzzy rules. Secondly, chrominance and motion features are used to roughly classify the clusters into foreground and background, respectively. Finally, the fuzzy rules are refined by a fuzzy neural network, and the ambiguous regions between foreground and background are further distinguished by the fuzzy neural network. Our method improves the correctness of human face and body detection by getting training data more precisely. Besides, we can extract the VOs correctly even the VOs have no obvious motion in the video sequence.
    Advisory Committee
  • Lain-Chyr Hwang - chair
  • Chih-Hong Wu - co-chair
  • Shie-Jue Lee - advisor
  • Files
  • etd-0724101-130917.pdf
  • indicate access worldwide
    Date of Submission 2001-07-24

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