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

吉田 安祐香, Yoshida Ayuka

doi:10.15002/00025403

書誌事項

タイトル別名

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

説明

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.

収録刊行物

法政大学大学院紀要. 理工学研究科編

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

キーワード

詳細情報詳細情報について

CRID: 1390574490535818880

DOI: 10.15002/00025403

HANDLE: 10114/00025403

ISSN: 24368083

本文言語コード: ja

資料種別: departmental bulletin paper

データソース種別

JaLC
IRDB

抄録ライセンスフラグ: 使用可

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