On possibilities of human head detection for person flow monitoring system

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F19%3A39915449" target="_blank" >RIV/00216275:25530/19:39915449 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26210/19:PU132709
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-20518-8_34" target="_blank" >http://dx.doi.org/10.1007/978-3-030-20518-8_34</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-20518-8_34" target="_blank" >10.1007/978-3-030-20518-8_34</a>

Result language
angličtina
Original language name
On possibilities of human head detection for person flow monitoring system
Original language description
Along with the development of human society, economy, industry and engineering, as well as with growing population in the world's biggest cities, various approaches to person detection have become the subject of great interest. One approach to developing a person detection system is proposed in this paper. A high-angle video sequence is considered as the input to the system. Then, three classification algorithms are considered: support vector machines, pattern recognition neural networks and convolutional neural networks. The results showed very little difference between the classifiers, with the overall accuracy more than 95% over a testing set.
Czech name
—
Czech description
—

Project
<a href="/en/project/EF17_049%2F0008394" target="_blank" >EF17_049/0008394: Cooperation in Applied Research between the University of Pardubice and companies, in the Field of Positioning, Detection and Simulation Technology for Transport Systems (PosiTrans)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Advances in Computational Intelligence, IWANN 2019, PT II
ISBN
978-3-030-20518-8
ISSN
0302-9743
e-ISSN
—
Number of pages
12
Pages from-to
402-413
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
Granada
Event date
Jun 13, 2019
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000490722000034

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