All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Camera auto-calibration for complex scenes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APU147762" target="_blank" >RIV/00216305:26230/21:PU147762 - isvavai.cz</a>

  • Result on the web

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

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1117/12.2586983" target="_blank" >10.1117/12.2586983</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Camera auto-calibration for complex scenes

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/8A21015" target="_blank" >8A21015: AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    SPIE 11605

  • ISBN

    978-1-5106-4041-2

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    1-11

  • Publisher name

    SPIE - the international society for optics and photonics

  • Place of publication

    Rome

  • Event location

    Rome

  • Event date

    Nov 2, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000664492700067