Publication result detail

Camera auto-calibration for complex scenes

ALI, A.; SMRŽ, P.

Original Title

Camera auto-calibration for complex scenes

English Title

Camera auto-calibration for complex scenes

Type

Paper in proceedings (conference paper)

Original Abstract

In this paper, we propose a novel method for automatic camera calibration based on pedestrians' observations. Our proposed method is capable of estimating calibration parameters for complex scenes having more than one ground plane. Unlike existing methods that require time-consuming optimization step, our method uses real-time re-estimation step based on fuzzy logic while relaxing the assumption on the number of ground planes in the scene. Furthermore, we propose a dominant ground plane detection step for better calibration parameter estimation on complex scenes. To evaluate our proposed method, we run comprehensive testing using 5 different datasets covering varieties of calibration parameters and scene properties, we also conduct tests on a synthetic dataset for more detailed analysis.

English abstract

In this paper, we propose a novel method for automatic camera calibration based on pedestrians' observations. Our proposed method is capable of estimating calibration parameters for complex scenes having more than one ground plane. Unlike existing methods that require time-consuming optimization step, our method uses real-time re-estimation step based on fuzzy logic while relaxing the assumption on the number of ground planes in the scene. Furthermore, we propose a dominant ground plane detection step for better calibration parameter estimation on complex scenes. To evaluate our proposed method, we run comprehensive testing using 5 different datasets covering varieties of calibration parameters and scene properties, we also conduct tests on a synthetic dataset for more detailed analysis.

Keywords

camera auto-calibration, pedestrian detection, pedestrian segmentation, pedestrian tracking, RANSAC,
multiple ground planes, fuzzy logic, vanishing points

Key words in English

camera auto-calibration, pedestrian detection, pedestrian segmentation, pedestrian tracking, RANSAC,
multiple ground planes, fuzzy logic, vanishing points

Authors

ALI, A.; SMRŽ, P.

RIV year

2023

Released

15.03.2021

Publisher

SPIE - the international society for optics and photonics

Location

Rome

ISBN

978-1-5106-4041-2

Book

SPIE 11605

Pages from

1

Pages to

11

Pages count

11

URL

https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11605/116051W/Camera-auto-calibration-for-complex-scenes/10.1117/12.2586983.full?SSO=1

BibTex

@inproceedings{BUT182943,
  author="Anas {Ali} and Pavel {Smrž}",
  title="Camera auto-calibration for complex scenes",
  booktitle="SPIE 11605",
  year="2021",
  pages="1--11",
  publisher="SPIE - the international society for optics and photonics",
  address="Rome",
  doi="10.1117/12.2586983",
  isbn="978-1-5106-4041-2",
  url="https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11605/116051W/Camera-auto-calibration-for-complex-scenes/10.1117/12.2586983.full?SSO=1"
}