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A STUDY ON SPECIFIC PERSON DETECTION METHOD FOR TSUKUBA CHALLENGE USING YOLO ALGORITHM
Bibliographic Information
- Other Title
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- 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.
Journal
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- 法政大学大学院紀要. 理工学研究科編
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法政大学大学院紀要. 理工学研究科編 63 1-4, 2022-03-24
法政大学大学院理工学研究科
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Keywords
Details 詳細情報について
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- CRID
- 1390574490535818880
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- HANDLE
- 10114/00025403
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- ISSN
- 24368083
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- Text Lang
- ja
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- Article Type
- departmental bulletin paper
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- Data Source
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- JaLC
- IRDB
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- Abstract License Flag
- Allowed