Publication detail

Multi View Person Localization

SUMEC, S.

Original Title

Multi View Person Localization

English Title

Multi View Person Localization

Type

conference paper

Language

en

Original Abstract

This paper describes a technique how persons can be localized in 3D space using several cameras. Various methods are used to person detection in pictures obtained from cameras. Position of person is then identified from positions of objects detected on different cameras with overlapping visual angles and mutual positions of these cameras. Proposed method is used as auxiliary technique for an identification of meeting participants.

English abstract

This paper describes a technique how persons can be localized in 3D space using several cameras. Various methods are used to person detection in pictures obtained from cameras. Position of person is then identified from positions of objects detected on different cameras with overlapping visual angles and mutual positions of these cameras. Proposed method is used as auxiliary technique for an identification of meeting participants.

Keywords

detection, localization, rays

Released

28.04.2004

Publisher

Brno University of Technology

Location

Brno

ISBN

80-214-2635-7

Book

Proceedings of the 10th Conference and Competition STUDENT EEICT 2004

Pages from

432

Pages to

436

Pages count

5

Documents

BibTex


@inproceedings{BUT16930,
  author="Stanislav {Sumec}",
  title="Multi View Person Localization",
  annote="This paper describes a technique how persons can be localized in 3D space using several cameras. Various methods are used to person detection in pictures obtained from cameras. Position of person is then identified from positions of objects detected on different cameras with overlapping visual angles and mutual positions of these cameras. Proposed method is used as auxiliary technique for an identification of meeting participants.",
  address="Brno University of Technology",
  booktitle="Proceedings of the 10th Conference and Competition STUDENT EEICT 2004",
  chapter="16930",
  institution="Brno University of Technology",
  year="2004",
  month="april",
  pages="432",
  publisher="Brno University of Technology",
  type="conference paper"
}