Position estimation of pedestrians in surveillance video using face detection and simple camera calibration

研究成果: Conference contribution

抄録

Pedestrian position estimation in videos is an important technique for enhancing surveillance system applications. Although many studies estimate pedestrian positions by using human body detection, its usage is limited when the entire body expands outside of the field of view. Camera calibration is also important for realizing accurate position estimation. Most surveillance cameras are not adjusted, and it is necessary to establish a method for easy camera calibration after installation. In this paper, we propose an estimation method for pedestrian positions using face detection and anthropometric properties such as statistical face lengths. We also investigate a simple method for camera calibration that is suitable for actual uses. We evaluate the position estimation accuracy by using indoor surveillance videos.

本文言語English
ホスト出版物のタイトルProceedings of MVA 2021 - 17th International Conference on Machine Vision Applications
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9784901122207
DOI
出版ステータスPublished - 2021 7 25
イベント17th International Conference on Machine Vision Applications, MVA 2021 - Aichi, Japan
継続期間: 2021 7 252021 7 27

出版物シリーズ

名前Proceedings of MVA 2021 - 17th International Conference on Machine Vision Applications

Conference

Conference17th International Conference on Machine Vision Applications, MVA 2021
国/地域Japan
CityAichi
Period21/7/2521/7/27

ASJC Scopus subject areas

  • 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

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