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
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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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
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e-ISSN
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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