Publication detail

Comparison of tracking algorithms implemented in OpenCV

DULÍK, T. JANKŮ, P. KOPLÍK, K. SZABÓ, I.

Original Title

Comparison of tracking algorithms implemented in OpenCV

Type

conference paper

Language

English

Original 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.

Keywords

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

Authors

DULÍK, T.; JANKŮ, P.; KOPLÍK, K.; SZABÓ, I.

Released

21. 10. 2016

Publisher

EDP Sciences

Location

Korfu

ISBN

2261-236X

Periodical

MATEC Web of Conferences

Year of study

76

State

French Republic

Pages from

1

Pages to

6

Pages count

6

URL

BibTex

@inproceedings{BUT170207,
  author="Tomáš {Dulík} and Peter {Janků} and Karel {Koplík} and István {Szabó}",
  title="Comparison of tracking algorithms implemented in OpenCV",
  booktitle="MATEC Web of Conferences",
  year="2016",
  journal="MATEC Web of Conferences",
  volume="76",
  pages="1--6",
  publisher="EDP Sciences",
  address="Korfu",
  doi="10.1051/matecconf/20167604031",
  issn="2261-236X",
  url="https://www.matec-conferences.org/articles/matecconf/pdf/2016/39/matecconf_cscc2016_04031.pdf"
}