Detail publikace

Performance Evaluation of CNN Based Pedestrian and Cyclist Detectors On Degraded Images

ZEMČÍK, T. KRATOCHVÍLA, L. BILÍK, Š. BOŠTÍK, O. ZEMČÍK, P. HORÁK, K.

Originální název

Performance Evaluation of CNN Based Pedestrian and Cyclist Detectors On Degraded Images

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

This paper evaluates the effects of input image degradation on performance of image object detectors. The purpose of the evaluation is to determine usability of the detectors trained on original images in adverse conditions. SSD and Faster R-CNN based pedestrian and cyclist detector performance with images degraded with motion blur, out-of-focus blur, and JPEG compression artefacts, most commonly occurring in mobile or static traffic systems. An experiment was designed to assess the effect of degradations on detection precision and cross class confusion. The paper describes the two datasets created for this evaluation, evaluation of a number of detectors on increasingly more degraded images, comparison of their performance, and assessment of their tolerance to different types of image degradation as well as a discussion of the results.

Klíčová slova

Object Detection, Image Degradation, Pedestrian Detection, Cyclist Detection, SSD, Faster R-CNN.

Autoři

ZEMČÍK, T.; KRATOCHVÍLA, L.; BILÍK, Š.; BOŠTÍK, O.; ZEMČÍK, P.; HORÁK, K.

Vydáno

28. 2. 2021

Nakladatel

Computer Science Journals (CSC Journals)

Místo

Kuala Lumpur, Malaysia

ISSN

1985-2304

Periodikum

International Journal of Image Processing

Ročník

15

Číslo

1

Stát

Malajsie

Strany od

1

Strany do

13

Strany počet

13

URL

https://www.cscjournals.org/library/manuscriptinfo.php?mc=IJIP-1213

Plný text v Digitální knihovně

http://hdl.handle.net/11012/200992

BibTex

@article{BUT170686,
  author="Tomáš {Zemčík} and Lukáš {Kratochvíla} and Šimon {Bilík} and Ondřej {Boštík} and Pavel {Zemčík} and Karel {Horák}",
  title="Performance Evaluation of CNN Based Pedestrian and Cyclist Detectors On Degraded Images",
  journal="International Journal of Image Processing",
  year="2021",
  volume="15",
  number="1",
  pages="1--13",
  issn="1985-2304",
  url="https://www.cscjournals.org/library/manuscriptinfo.php?mc=IJIP-1213"
}