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LIGOCKI, R.
Originální název
Detection of deferred luggage in public areas
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
Deferred luggage; Object detection; Neural network; Security
Autoři
Vydáno
26. 4. 2018
Místo
Brno
ISBN
978-80-214-5614-3
Kniha
Proceedings of the 24th Conference STUDENT EEICT 2018
Číslo edice
První
Strany od
138
Strany do
140
Strany počet
3
URL
http://www.feec.vutbr.cz/conf/EEICT/archiv/sborniky/EEICT_2018_sbornik.pdf
BibTex
@inproceedings{BUT156198, author="Roman {Ligocki}", title="Detection of deferred luggage in public areas", booktitle="Proceedings of the 24th Conference STUDENT EEICT 2018", year="2018", number="První", pages="138--140", address="Brno", isbn="978-80-214-5614-3", url="http://www.feec.vutbr.cz/conf/EEICT/archiv/sborniky/EEICT_2018_sbornik.pdf" }