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

Type

conference paper

Language

English

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.

Keywords

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

Authors

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

Released

4. 7. 2018

Publisher

Institute of Electrical and Electronics Engineers Inc.

Location

Athens

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

https://ieeexplore.ieee.org/document/8441239

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",
  booktitle="Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing",
  year="2018",
  pages="384--387",
  publisher="Institute of Electrical and Electronics Engineers Inc.",
  address="Athens",
  doi="10.1109/TSP.2018.8441239",
  isbn="978-1-5386-4695-3",
  url="https://ieeexplore.ieee.org/document/8441239"
}