Advanced Analysis Of Moving Objects In The Image

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but.event.date27.04.2021cs
but.event.titleSTUDENT EEICT 2021cs
dc.contributor.authorMedynskyi, Ivan
dc.date.accessioned2021-07-21T07:06:55Z
dc.date.available2021-07-21T07:06:55Z
dc.date.issued2021cs
dc.description.abstractThis work is focused on the image processing using the OpenCV library and detectingmoving objects in video using convolutional neural networks. The created application can detectmoving objects in the video and contains additional functionality. The application includes theYOLO convolutional model, which helps to detect moving objects.en
dc.formattextcs
dc.format.extent75-78cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 27st Conference STUDENT EEICT 2021: General papers. s. 75-78. ISBN 978-80-214-5942-7cs
dc.identifier.isbn978-80-214-5942-7
dc.identifier.urihttp://hdl.handle.net/11012/200710
dc.language.isocscs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 27st Conference STUDENT EEICT 2021: General papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazenics
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectOpenCVen
dc.subjectCNNen
dc.subjectneuronové sítěen
dc.subjectpočítačové viděníen
dc.subjectdetekce pohybujících se objektůen
dc.titleAdvanced Analysis Of Moving Objects In The Imageen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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