Journal of Broadcast Engineering (방송공학회논문지)

The Korean Institute of Broadcast and Media Engineers (한국방송∙미디어공학회)
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Object Detection by Gaussian Mixture Model and Shape Adaptive Bidirectional Block Matching Algorithm

  • Park, Goo-Man (Dept. of Media Engineering, Seoul National University of Technology) ;
  • Han, Byung-Wan (Dept. of Computer Animation, Tongwon College) ;
  • An, Tae-Ki (Korea Railroad Research Institute) ;
  • Lee, Kwang-Jeek (Dept. of Media Engineering, Seoul National University of Technology)
  • 박구만 (서울산업대학교 매체공학과) ;
  • ;
  • ;
  • Published : 2008.09.30
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Abstract

We proposed a method to improve moving object detection capability of Gaussian Mixture Model by suggesting shape adaptive bidirectional block matching algorithm. This method achieves more accurate detection and tracking performance at various motion types such as slow, fast, and bimodal motions than that of Gaussian Mixture Model. Experimental results showed that the proposed method outperformed the conventional methods.

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References

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