Detection Algorithms Of Moving Objects

but.event.date26.04.2018cs
but.event.titleStudent EEICT 2018cs
dc.contributor.authorNovotný, Josef
dc.date.accessioned2019-03-04T10:05:33Z
dc.date.available2019-03-04T10:05:33Z
dc.date.issued2018cs
dc.description.abstractThe aim of this work is to design automatic detection system on Raspberry Pi. Device includes a camera with a swivel module, which can set a proper angle. It involves applying an algorithm based on objects detection and recognition methods. Algorithms have been chosen according to real-time implementation and allows to send a warning when detecting unwanted objects. Algorithm was verified on test videos of drones and landing airplanes.en
dc.formattextcs
dc.format.extent18-20cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 24th Conference STUDENT EEICT 2018. s. 18-20. ISBN 978-80-214-5614-3cs
dc.identifier.isbn978-80-214-5614-3
dc.identifier.urihttp://hdl.handle.net/11012/138155
dc.language.isoskcs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 24th Conference STUDENT EEICT 2018en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectObject detectionen
dc.subjectObject Recognitionen
dc.subjectRaspberry Pien
dc.subjectOpenCVen
dc.titleDetection Algorithms Of Moving Objectsen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
eeict2018-18.pdf
Size:
779.26 KB
Format:
Adobe Portable Document Format
Description: