Comparison of tracking algorithms implemented in OpenCV

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU139959" target="_blank" >RIV/00216305:26230/16:PU139959 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28140/16:43875056
Result on the web
<a href="https://www.matec-conferences.org/articles/matecconf/pdf/2016/39/matecconf_cscc2016_04031.pdf" target="_blank" >https://www.matec-conferences.org/articles/matecconf/pdf/2016/39/matecconf_cscc2016_04031.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/matecconf/20167604031" target="_blank" >10.1051/matecconf/20167604031</a>

Result language
angličtina
Original language name
Comparison of tracking algorithms implemented in OpenCV
Original language description
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.
Czech name
—
Czech description
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Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/TE01020415" target="_blank" >TE01020415: V3C - Visual Computing Competence Center</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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