AI Based Object Recognition Performance between General Camera and Omnidirectional Camera Images

研究成果: Conference contribution

抄録

In this paper, we present a comparison of the accuracies of AI-based object recognition using a general camera and an omnidirectional camera. Recently, with the improvement in machine learning technology, there has been significant research related to the detection and classification of objects from images and videos. In this field, it is common to use horizontal images and videos. However, omnidirectional cameras, which can acquire information from the entire surrounding area, are becoming popular in addition to general cameras. Although there are some studies on object recognition using these cameras, almost no studies have focused on comparisons between object recognition using general and omnidirectional cameras. Therefore, in this study, we compared the recognition rate of object recognition using the YOLO algorithm on both general and omnidirectional images taken in the same environment.

本文言語English
ホスト出版物のタイトル2022 2nd International Conference on Image Processing and Robotics, ICIPRob 2022
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781665407717
DOI
出版ステータスPublished - 2022
イベント2nd International Conference on Image Processing and Robotics, ICIPRob 2022 - Colombo, Sri Lanka
継続期間: 2022 3月 122022 3月 13

出版物シリーズ

名前2022 2nd International Conference on Image Processing and Robotics, ICIPRob 2022

Conference

Conference2nd International Conference on Image Processing and Robotics, ICIPRob 2022
国/地域Sri Lanka
CityColombo
Period22/3/1222/3/13

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理
  • 制御と最適化
  • モデリングとシミュレーション

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