Publication detail

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

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

Original Title

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

Type

journal article - other

Language

English

Original Abstract

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.

Keywords

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

Authors

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

Released

28. 2. 2021

Publisher

Computer Science Journals (CSC Journals)

Location

Kuala Lumpur, Malaysia

ISBN

1985-2304

Periodical

International Journal of Image Processing

Year of study

15

Number

1

State

Malaysia

Pages from

1

Pages to

13

Pages count

13

URL

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

Full text in the Digital Library

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"
}