Publication result detail

Detection of deferred luggage in public areas

LIGOCKI, R.

Original Title

Detection of deferred luggage in public areas

English Title

Detection of deferred luggage in public areas

Type

Paper in proceedings (conference paper)

Original 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.

English 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; Object detection; Neural network; Security

Key words in English

Deferred luggage; Object detection; Neural network; Security

Authors

LIGOCKI, R.

RIV year

2019

Released

26.04.2018

Location

Brno

ISBN

978-80-214-5614-3

Book

Proceedings of the 24th Conference STUDENT EEICT 2018

Pages from

138

Pages to

140

Pages count

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"
}