Publication detail

Determination of a Person’s Height from Images Using a Known Object Size

KŘÍŽ, P. ŘÍHA, K. DUTTA, M. SINGH, A. NECHITI, M.

Original Title

Determination of a Person’s Height from Images Using a Known Object Size

English Title

Determination of a Person’s Height from Images Using a Known Object Size

Type

conference paper

Language

en

Original Abstract

This paper describes an image processing method for an automatic determination of a person’s height from image captured by a single camera. It is supposed that at least one object with a known size which defines the metric calibration is present in the image. Our global algorithm consists of several image processing techniques such as camera calibration, edge line detection, Hough transform, vanishing points detection and Histograms of oriented gradients for human detection. Original methodology was developed and tested in C++ as a standalone process which is applicable only on static frames (not optimized for video). The accuracy of the method is about 2.25 ± 2.79 cm, preliminary results were obtained using a database which contained 19 images of standing persons inside a room.

English abstract

This paper describes an image processing method for an automatic determination of a person’s height from image captured by a single camera. It is supposed that at least one object with a known size which defines the metric calibration is present in the image. Our global algorithm consists of several image processing techniques such as camera calibration, edge line detection, Hough transform, vanishing points detection and Histograms of oriented gradients for human detection. Original methodology was developed and tested in C++ as a standalone process which is applicable only on static frames (not optimized for video). The accuracy of the method is about 2.25 ± 2.79 cm, preliminary results were obtained using a database which contained 19 images of standing persons inside a room.

Keywords

vanishing point; people height measurement; camera calibration; Hough transform; Histogram of oriented gradients

Released

04.07.2018

Publisher

Faculty of Electrical Engineering and Communacation, Brno University of Technology

Location

Technická 3058/10, 616 00 Brno, Czech Republic

ISBN

978-1-5386-4695-3

Book

Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing

Pages from

384

Pages to

387

Pages count

4

URL

BibTex


@inproceedings{BUT148930,
  author="Petr {Kříž} and Kamil {Říha} and Malay Kishore {Dutta} and Anushikha {Singh} and Marius {Nechiti}",
  title="Determination of a Person’s Height from Images Using a Known Object Size",
  annote="This paper describes an image processing method for an automatic determination of a person’s height from image captured by a single camera. It is supposed that at least one object with a known size which defines the metric calibration is present in the image. Our global algorithm consists of several image processing techniques such as camera calibration, edge line detection, Hough transform, vanishing points detection and Histograms of oriented gradients for human detection. Original methodology was developed and tested in C++ as a standalone process which is applicable only on static frames (not optimized for video). The accuracy of the method is about 2.25 ± 2.79 cm, preliminary results were obtained using a database which contained 19 images of standing persons inside a room.",
  address="Faculty of Electrical Engineering and Communacation, Brno University of Technology",
  booktitle="Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing",
  chapter="148930",
  howpublished="online",
  institution="Faculty of Electrical Engineering and Communacation, Brno University of Technology",
  year="2018",
  month="july",
  pages="384--387",
  publisher="Faculty of Electrical Engineering and Communacation, Brno University of Technology",
  type="conference paper"
}