Detail publikace

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

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

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Vydáno

4. 7. 2018

Nakladatel

Institute of Electrical and Electronics Engineers Inc.

Místo

Athens

ISBN

978-1-5386-4695-3

Kniha

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

Strany od

384

Strany do

387

Strany počet

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",
  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"
}