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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
URL
https://www.matec-conferences.org/articles/matecconf/pdf/2016/39/matecconf_cscc2016_04031.pdf
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" }
Documents
matecconf_cscc2016_04031.pdf