Detection Of Deferred Luggage In Public Areas
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Date
2018
Authors
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
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.
Description
Citation
Proceedings of the 24th Conference STUDENT EEICT 2018. s. 138-140. ISBN 978-80-214-5614-3
http://www.feec.vutbr.cz/EEICT/
http://www.feec.vutbr.cz/EEICT/
Document type
Peer-reviewed
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Published version
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cz
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Defence
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií