Detail publikace

On Possibilities of Human Head Detection for Person Flow Monitoring System

Dolezel P. Stursa D. Skrabanek P.

Anglický název

On Possibilities of Human Head Detection for Person Flow Monitoring System

Typ

Stať ve sborníku v databázi WoS či Scopus

Jazyk

en

Originální abstrakt

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.

Klíčová slova anglicky

Person flow monitoring, Support vector machines, Pattern recognition neural network, Convolutional neural network. Histograms of oriented gradients

Vydáno

2019-05-16

Nakladatel

Springer Verlag

Místo

Cham

ISSN

0302-9743

Kniha

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Ročník

11507 LNCS

Strany od–do

402–413

Počet stran

12

BIBTEX


@inproceedings{BUT157763,
  author="Dolezel P. and Stursa D. and Skrabanek P.",
  title="On Possibilities of Human Head Detection for Person Flow Monitoring System",
  booktitle="Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
  year="2019",
  journal="Lecture Notes in Computer Science",
  volume="11507 LNCS",
  pages="402--413",
  publisher="Springer Verlag",
  address="Cham",
  doi="10.1007/978-3-030-20518-8\{_}34",
  issn="0302-9743",
  url="https://link.springer.com/chapter/10.1007/978-3-030-20518-8_34"
}