An Extended Method of Multiple-Camera Calibration for 3D Vehicle Tracking at Intersections

Sukriti Subedi, Hua Tang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose an extended method for calibration of multiple cameras for 3D vehicle tracking at intersections that eventually targets automated and accurate traffic data collection. To allow simple, efficient yet accurate camera calibration of multiple cameras, we propose to extend the method based on the traditional vanishing-point based technique for individual camera calibration. First, a common rectangular road pattern derived from parallel traffic lanes is established to set up a unique world coordinate. Then, each camera is separately calibrated using parallel lines from the road pattern and finally all cameras are jointly optimized in least-squared nonlinear approach for minimum projection error. It is evaluated in a practical traffic scene with two cameras that more than 90% accuracy is achieved for distance and vehicle 3D dimension estimation.

Original languageEnglish (US)
Title of host publication2018 IEEE International Conference on Electro/Information Technology, EIT 2018
PublisherIEEE Computer Society
Pages258-261
Number of pages4
Volume2018-May
ISBN (Electronic)9781538653982
DOIs
StatePublished - Oct 18 2018
Event2018 IEEE International Conference on Electro/Information Technology, EIT 2018 - Rochester, United States
Duration: May 3 2018May 5 2018

Other

Other2018 IEEE International Conference on Electro/Information Technology, EIT 2018
CountryUnited States
CityRochester
Period5/3/185/5/18

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Cameras
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Cite this

Subedi, S., & Tang, H. (2018). An Extended Method of Multiple-Camera Calibration for 3D Vehicle Tracking at Intersections. In 2018 IEEE International Conference on Electro/Information Technology, EIT 2018 (Vol. 2018-May, pp. 258-261). [8500130] IEEE Computer Society. https://doi.org/10.1109/EIT.2018.8500130

An Extended Method of Multiple-Camera Calibration for 3D Vehicle Tracking at Intersections. / Subedi, Sukriti; Tang, Hua.

2018 IEEE International Conference on Electro/Information Technology, EIT 2018. Vol. 2018-May IEEE Computer Society, 2018. p. 258-261 8500130.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Subedi, S & Tang, H 2018, An Extended Method of Multiple-Camera Calibration for 3D Vehicle Tracking at Intersections. in 2018 IEEE International Conference on Electro/Information Technology, EIT 2018. vol. 2018-May, 8500130, IEEE Computer Society, pp. 258-261, 2018 IEEE International Conference on Electro/Information Technology, EIT 2018, Rochester, United States, 5/3/18. https://doi.org/10.1109/EIT.2018.8500130
Subedi S, Tang H. An Extended Method of Multiple-Camera Calibration for 3D Vehicle Tracking at Intersections. In 2018 IEEE International Conference on Electro/Information Technology, EIT 2018. Vol. 2018-May. IEEE Computer Society. 2018. p. 258-261. 8500130 https://doi.org/10.1109/EIT.2018.8500130
Subedi, Sukriti ; Tang, Hua. / An Extended Method of Multiple-Camera Calibration for 3D Vehicle Tracking at Intersections. 2018 IEEE International Conference on Electro/Information Technology, EIT 2018. Vol. 2018-May IEEE Computer Society, 2018. pp. 258-261
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