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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU128485" target="_blank" >RIV/00216305:26220/18:PU128485 - isvavai.cz</a>

  • Alternative codes found

    RIV/25313436:_____/18:N0000002

  • Result on the web

    <a href="http://tsp.vutbr.cz/datas/tsp2018_proc/TSP2018.pdf" target="_blank" >http://tsp.vutbr.cz/datas/tsp2018_proc/TSP2018.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

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

  • ISBN

    978-1-5386-4695-3

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    384-387

  • Publisher name

    Faculty of Electrical Engineering and Communacation, Brno University of Technology

  • Place of publication

    Technická 3058/10, 616 00 Brno, Czech Republic

  • Event location

    Athens, Greece

  • Event date

    Jul 4, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000454845100086