Detection Of Deferred Luggage In Public Areas

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but.event.date26.04.2018cs
but.event.titleStudent EEICT 2018cs
dc.contributor.authorLigocki, Roman
dc.date.accessioned2019-03-04T10:05:39Z
dc.date.available2019-03-04T10:05:39Z
dc.date.issued2018cs
dc.description.abstractGoal of this paper is to describe created program for detection of deferred luggage in public areas, that could be possibly dangerous for their surrounding. Text describes usage of neural network YOLO for object detection from digital image. Paper also contains description of used object tracking algorithm and formula for image comparison. Algorithm for object tracking, has been implemented based on image comparison and distance between objects. Result of this project is application, that is able to detect deferred luggage.en
dc.formattextcs
dc.format.extent138-140cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 24th Conference STUDENT EEICT 2018. s. 138-140. ISBN 978-80-214-5614-3cs
dc.identifier.isbn978-80-214-5614-3
dc.identifier.urihttp://hdl.handle.net/11012/138193
dc.language.isoczcs
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.subjectDeferred luggageen
dc.subjectObject detectionen
dc.subjectNeural networken
dc.subjectSecurityen
dc.titleDetection Of Deferred Luggage In Public Areasen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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