Fuzzy transform and support vector machine for pedestrian detection

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F18%3AA2001TSW" target="_blank" >RIV/61988987:17610/18:A2001TSW - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8641022" target="_blank" >https://ieeexplore.ieee.org/document/8641022</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICIEV.2018.8641022" target="_blank" >10.1109/ICIEV.2018.8641022</a>

Result language
angličtina
Original language name
Fuzzy transform and support vector machine for pedestrian detection
Original language description
This paper focuses on a task of automatic pedestrian detection. There are many possible solutions with several ideas behind. Histogram of oriented gradients is among the popular ones. The former is used as a descriptor of the input image together with support vector machine. In this initial study, we propose to create a feature vector using fuzzy mathematics and test its effectiveness. The effectiveness is evaluated by comparison with original histogram of oriented gradient descriptors in support vector machine.
Czech name
—
Czech description
—

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR)
ISBN
978-1-5386-5163-6
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
344-348
Publisher name
IEEE
Place of publication
—
Event location
Kitakyushu, Japonsko
Event date
Jun 25, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000462610300060

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