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Publication detail
ALI, A. SMRŽ, P.
Original Title
Camera auto-calibration for complex scenes
Type
conference paper
Language
English
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.
Keywords
camera auto-calibration, pedestrian detection, pedestrian segmentation, pedestrian tracking, RANSAC, multiple ground planes, fuzzy logic, vanishing points
Authors
ALI, A.; SMRŽ, P.
Released
15. 3. 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
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" }