Stereo camera pair calibration for traffic surveillance applications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F22%3APU149566" target="_blank" >RIV/00216305:26230/22:PU149566 - isvavai.cz</a>
Result on the web
<a href="https://www.spiedigitallibrary.org/journals/optical-engineering/volume-61/issue-11/114103/Stereo-camera-pair-calibration-for-traffic-surveillance-applications/10.1117/1.OE.61.11.114103.full" target="_blank" >https://www.spiedigitallibrary.org/journals/optical-engineering/volume-61/issue-11/114103/Stereo-camera-pair-calibration-for-traffic-surveillance-applications/10.1117/1.OE.61.11.114103.full</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/1.OE.61.11.114103" target="_blank" >10.1117/1.OE.61.11.114103</a>
Alternative languages
Result language
angličtina
Original language name
Stereo camera pair calibration for traffic surveillance applications
Original language description
We proposed an innovative stereo camera pair calibration method suitable for traffic surveillance applications. In the method, we first split the sought parameters into two groups. The first group contains parameters that can be computed prior to the device being installed in the desired location, and we determine their values using already established methods. The second group contains parameters that need to be evaluated after the device is installed on-site, and we utilize calibration vehicles for their evaluation. We first localize the calibration vehicles by detecting and tracking their license plates in a series of stereo images; afterward, we exploit the known information about their speed and acceleration to compute the distances that they traveled between two frames; finally, we determine the internal and external stereo camera pair parameters by minimizing the difference between the computed and estimated distances while preserving the epipolar geometry. We evaluated the presented method on a task of measuring the distances that vehicles traveled between two consecutive frames. For this evaluation, we recorded a dataset containing almost 700 vehicles with trajectories that were recorded using prototype hardware and ground truth distance measurements that were obtained from a pair of single-beam LIDARs. The evaluation results were compared with the current state-of-the-art methods for long-distance stereo camera pair calibration and used in the application of the proposed method on the vehicle speed measurement task.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Optical Engineering
ISSN
0091-3286
e-ISSN
1560-2303
Volume of the periodical
61
Issue of the periodical within the volume
11
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
1-14
UT code for WoS article
000934324900009
EID of the result in the Scopus database
2-s2.0-85146235350