A STUDY ON SPECIFIC PERSON DETECTION METHOD FOR TSUKUBA CHALLENGE USING YOLO ALGORITHM

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Bibliographic Information

Other Title
  • YOLOアルゴリズムを用いたつくばチャレンジのための特定人物検出手法に関する研究

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Description

In this paper, we describe the development of an omnidirectional camera based specified person searching algorithm which is for one of the Tsukuba Challenge tasks. The employment of an omnidirectional camera enables wide viewing angles without dead angles compared with conventional cameras. YOLOv5 uses images from an omnidirectional camera to identify people. The propose algorithm was implemented as ROS-based application that enables rapid verification as well as rapid prototyping. The validity of the propose algorithm is confirmed by preliminary experiments that simulated Tsukuba Challenge environments.

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Details 詳細情報について

  • CRID
    1390574490535818880
  • DOI
    10.15002/00025403
  • HANDLE
    10114/00025403
  • ISSN
    24368083
  • Text Lang
    ja
  • Article Type
    departmental bulletin paper
  • Data Source
    • JaLC
    • IRDB
  • Abstract License Flag
    Allowed

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