Detection Of Deferred Luggage In Public Areas
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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.
Document typePeer reviewed
Document versionFinal PDF
SourceProceedings of the 24th Conference STUDENT EEICT 2018. s. 138-140. ISBN 978-80-214-5614-3
- Student EEICT 2018