OptInOpt: Dual Optimization for Automatic Camera Calibration by Multi-Target Observations

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU134956" target="_blank" >RIV/00216305:26230/19:PU134956 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/AVSS.2019.8909905" target="_blank" >http://dx.doi.org/10.1109/AVSS.2019.8909905</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/AVSS.2019.8909905" target="_blank" >10.1109/AVSS.2019.8909905</a>

Result language

angličtina

Original language name

OptInOpt: Dual Optimization for Automatic Camera Calibration by Multi-Target Observations

Original language description

In this paper, we propose a new approach to automatic calibration of surveillance cameras. The proposed method is based on observing rigid objects in the scene and automatically estimating landmarks on these objects. The proposed approach can use arbitrary rigid objects, as was verified by experiments with a synthetic dataset, but vehicles were used during our experiments with real-life data. Landmarks on objects automatically detected by a convolutional neural network together with corresponding 3D positions in the object coordinate system are exploited during the camera calibration process. To determine 3D positions of the landmarks, fine-grained classification of the detected vehicles in the image plane is necessary. The proposed calibration method consists of dual optimization - optimization of objects positions in the world coordinate system and also optimization of the calibration parameters to minimize the re-projection error of the localized landmarks. The experiments show improvement in calibration accuracy over the existing method solving a similar problem furthermore with fewer restrictions on the input data. The calibration error on a real world dataset decreased from 6.88 % to 2.85 %.

Czech name

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Czech description

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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)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

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

Article name in the collection

16th IEEE International Conference on Advanced Video and Signal-based Surveillance

ISBN

978-1-7281-0990-9

ISSN

—

e-ISSN

—

Number of pages

8

Pages from-to

1-8

Publisher name

Institute of Electrical and Electronics Engineers

Place of publication

Taipei

Event location

Taipei

Event date

Sep 18, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000524684300085