Publication Details

Comparison of tracking algorithms implemented in OpenCV

DULÍK Tomáš, JANKŮ Peter, KOPLÍK Karel and SZABÓ István. Comparison of tracking algorithms implemented in OpenCV. In: MATEC Web of Conferences. Korfu: EDP Sciences, 2016, pp. 1-6. ISSN 2261-236X. Available from: https://www.matec-conferences.org/articles/matecconf/pdf/2016/39/matecconf_cscc2016_04031.pdf
Czech title
Porovnání sledovacích algoritmů implementovaných v OpenCV
Type
conference paper
Language
english
Authors
Dulík Tomáš, Ing., Ph.D. (TBU)
Janků Peter, Ing., Ph.D. (TBU)
Koplík Karel, Ing. (FIT BUT)
Szabó István, Ing., Ph.D. (FME BUT)
URL
Keywords

Computer Circuits, Optimization, Tracking (position), Computer Vision

Abstract

Computer vision is very progressive and modern part of computer science. From scientific point of view, theoretical aspects of computer vision algorithms prevail in many papers and publications. The underlying theory is really important, but on the other hand, the final implementation of an algorithm significantly affects its performance and robustness. For this reason, this paper tries to compare real implementation of tracking algorithms (one part of computer vision problem), which can be found in the very popular library OpenCV. Moreover, the possibilities of optimizations are discussed. 2016 The Authors, published by EDP Sciences.

Published
2016
Pages
1-6
Journal
MATEC Web of Conferences, vol. 76, ISSN 2261-236X
Proceedings
MATEC Web of Conferences
Conference
20st International Conference on Circuits, Systems, Communications and Computers (CSCC 2016), Corfu, GR
Publisher
EDP Sciences
Place
Korfu, GR
DOI
UT WoS
000392332200108
EID Scopus
BibTeX
@INPROCEEDINGS{FITPUB12467,
   author = "Tom\'{a}\v{s} Dul\'{i}k and Peter Jank\r{u} and Karel Kopl\'{i}k and Istv\'{a}n Szab\'{o}",
   title = "Comparison of tracking algorithms implemented in OpenCV",
   pages = "1--6",
   booktitle = "MATEC Web of Conferences",
   journal = "MATEC Web of Conferences",
   volume = 76,
   year = 2016,
   location = "Korfu, GR",
   publisher = "EDP Sciences",
   ISSN = "2261-236X",
   doi = "10.1051/matecconf/20167604031",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12467"
}
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