Journal of the Korean Society of Industry Convergence (한국산업융합학회 논문집)

The Korean Society of Industry Convergence (한국산업융합학회)
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Color Pattern Recognition and Tracking for Multi-Object Tracking in Artificial Intelligence Space

인공지능 공간상의 다중객체 구분을 위한 컬러 패턴 인식과 추적

  • Tae-Seok Jin (Dept. of Mechanical Engineering, Dongseo University)
  • 진태석 (동서대학교 기계공학과)
  • Received : 2024.01.26
  • Accepted : 2024.04.10
  • Published : 2024.04.30
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Abstract

In this paper, the Artificial Intelligence Space(AI-Space) for human-robot interface is presented, which can enable human-computer interfacing, networked camera conferencing, industrial monitoring, service and training applications. We present a method for representing, tracking, and objects(human, robot, chair) following by fusing distributed multiple vision systems in AI-Space. The article presents the integration of color distributions into particle filtering. Particle filters provide a robust tracking framework under ambiguous conditions. We propose to track the moving objects(human, robot, chair) by generating hypotheses not in the image plane but on the top-view reconstruction of the scene.

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References

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