Comparison of tracking algorithms implemented in OpenCV

Janků, Peter; Koplík, Karel; Dulík, Tomáš; Szabo, Istvan

dc.title	Comparison of tracking algorithms implemented in OpenCV	en
dc.contributor.author	Janků, Peter
dc.contributor.author	Koplík, Karel
dc.contributor.author	Dulík, Tomáš
dc.contributor.author	Szabo, Istvan
dc.relation.ispartof	MATEC Web of Conferences 20th International Conference on Circuits, Systems, Communications and Computers (CSCC 2016)
dc.identifier.issn	2261-236X Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued	2016
utb.relation.volume	76
dc.event.title	20th International Conference on Circuits, Systems, Communications and Computers (CSCC)
dc.event.location	Corfu
utb.event.state-en	Greece
utb.event.state-cs	Řecko
dc.event.sdate	2016-07-14
dc.event.edate	2016-07-17
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	EDP Sciences
dc.identifier.doi	10.1051/matecconf/20167604031
dc.relation.uri	https://www.matec-conferences.org/articles/matecconf/abs/2016/39/matecconf_cscc2016_04031/matecconf_cscc2016_04031.html
dc.description.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.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1006991
utb.identifier.obdid	43875761
utb.identifier.scopus	2-s2.0-85016098832
utb.identifier.wok	000392332200108
utb.source	d-wok
dc.date.accessioned	2017-07-13T14:50:30Z
dc.date.available	2017-07-13T14:50:30Z
dc.description.sponsorship	Technology Agency of the Czech Republic (TA CR) within the Visual Computing Competence Center - V3C project [TE01020415]; Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme [LO1303 (MSMT-7778/2014)]; European Regional Development Fund under the project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Internal Grant Agency at TBU in Zlin [IGA/FAI/2016/036]
dc.rights	Attribution 4.0 International
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.rights.access	openAccess
utb.contributor.internalauthor	Janků, Peter
utb.contributor.internalauthor	Dulík, Tomáš
utb.fulltext.affiliation	Peter Janku 1 , a , Karel Koplik 2 , Tomas Dulik 1 , and Istvan Szabo 3 1 Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stranemi 4511, 760 05 Zlin 2 Brno University of Technology, Faculty of Information Technology, Bozetechova 2, 612 66 Brno 3 UNIS, a.s., Jundrovská 33, 624 00 Brno, Czech Republic a Corresponding author: [email protected]
utb.fulltext.dates	-
utb.fulltext.sponsorship	This paper is supported by Technology Agency of the Czech Republic (TA CR) within the Visual Computing Competence Center - V3C project No. TE01020415, by Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme project No. LO1303 (MSMT-7778/2014) and also by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089 and the Internal Grant Agency at TBU in Zlin, Project No. IGA/FAI/2016/036.