Original title: Detection Of Deferred Luggage In Public Areas
Authors: Ligocki, Roman
Document type: Papers
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.
Keywords: Deferred luggage; Neural network; Object detection; Security
Host item entry: Proceedings of the 24th Conference STUDENT EEICT 2018, ISBN 978-80-214-5614-3

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/138193

Permalink: http://www.nusl.cz/ntk/nusl-393379


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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers