Detection of deferred luggage in public areas

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU131597" target="_blank" >RIV/00216305:26220/18:PU131597 - isvavai.cz</a>
Result on the web
<a href="http://www.feec.vutbr.cz/conf/EEICT/archiv/sborniky/EEICT_2018_sbornik.pdf" target="_blank" >http://www.feec.vutbr.cz/conf/EEICT/archiv/sborniky/EEICT_2018_sbornik.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Detection of deferred luggage in public areas
Original language description
Goal 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.
Czech name
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Czech description
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Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 24th Conference STUDENT EEICT 2018
ISBN
978-80-214-5614-3
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
138-140
Publisher name
Neuveden
Place of publication
Brno
Event location
Brno
Event date
Apr 26, 2018
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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