Objects Tracking in Image Sequence by Optimization of a Penalty Function

  • Sakata, Akio (Department of Information and Computer Science, Saitama University) ;
  • Shimai, Hiroyuki (Department of Information and Computer Science, Saitama University) ;
  • Hiraoka, Kazuyuki (Department of Information and Computer Science, Saitama University) ;
  • Mishima, Tadetoshi (Department of Information and Computer Science, Saitama University)
  • Published : 2002.07.01

Abstract

We suggest a novel approach to the tracking of multiple moving objects in image sequence. The tracking of multiple moving objects include some complex problems(crossing (occluding), entering, disappearing, joining, and dividing) for objects identifying. Our method can settle these problems by optimization of a penalty function and movement prediction. It is executable in .eat time processing (more than 30 ㎐) because it is computed by only location data.

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