Visual Expansion and Real‐Time Calibration for Pan‐Tilt‐Zoom Cameras Assisted by Panoramic Models
ABSTRACT Pan‐tilt‐zoom (PTZ) cameras, which dynamically adjust their field of view (FOV), are pervasive in large‐scale scenes, such as train stations, squares, and airports. In real scenarios, PTZ cameras are required to quickly judge their directions using contextual clues from the surrounding envi...
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Published in | Computer animation and virtual worlds Vol. 36; no. 1 |
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Main Authors | , |
Format | Journal Article |
Language | English |
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Hoboken, USA
John Wiley & Sons, Inc
01.01.2025
Wiley Subscription Services, Inc |
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Abstract | ABSTRACT
Pan‐tilt‐zoom (PTZ) cameras, which dynamically adjust their field of view (FOV), are pervasive in large‐scale scenes, such as train stations, squares, and airports. In real scenarios, PTZ cameras are required to quickly judge their directions using contextual clues from the surrounding environment. To achieve this goal, some research projects camera videos into three‐dimensional (3D) models or panoramas and allows operators to establish spatial relationships. However, these works face several challenges in terms of real‐time processing, localization accuracy, and realistic reference. To address this problem, a visual expansion and real‐time calibration for PTZ cameras assisted by panoramic models is proposed. The calibration method consists of three parts: Providing a real environment background by building a panoramic model, meeting the needs of real‐time processing by establishing a PTZ camera motion estimation model and achieving high‐precision alignment between PTZ images and panoramic models using only two feature point pairs. Our methods were validated using both the public and our Scene dataset. The experimental results indicate that our method outperforms other state‐of‐the‐art methods in terms of real‐time processing, accuracy, and robustness.
We propose a visual expansion and real‐time calibration for PTZ cameras assisted by panoramic models. The calibration method consists of three parts: Providing a real environment background by building a panoramic model, establishing a PTZ camera motion estimation model for meeting the needs of real‐time processing, and achieving high‐precision alignment between PTZ images and panoramic models using only two feature point pairs. |
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AbstractList | ABSTRACT
Pan‐tilt‐zoom (PTZ) cameras, which dynamically adjust their field of view (FOV), are pervasive in large‐scale scenes, such as train stations, squares, and airports. In real scenarios, PTZ cameras are required to quickly judge their directions using contextual clues from the surrounding environment. To achieve this goal, some research projects camera videos into three‐dimensional (3D) models or panoramas and allows operators to establish spatial relationships. However, these works face several challenges in terms of real‐time processing, localization accuracy, and realistic reference. To address this problem, a visual expansion and real‐time calibration for PTZ cameras assisted by panoramic models is proposed. The calibration method consists of three parts: Providing a real environment background by building a panoramic model, meeting the needs of real‐time processing by establishing a PTZ camera motion estimation model and achieving high‐precision alignment between PTZ images and panoramic models using only two feature point pairs. Our methods were validated using both the public and our Scene dataset. The experimental results indicate that our method outperforms other state‐of‐the‐art methods in terms of real‐time processing, accuracy, and robustness.
We propose a visual expansion and real‐time calibration for PTZ cameras assisted by panoramic models. The calibration method consists of three parts: Providing a real environment background by building a panoramic model, establishing a PTZ camera motion estimation model for meeting the needs of real‐time processing, and achieving high‐precision alignment between PTZ images and panoramic models using only two feature point pairs. Pan‐tilt‐zoom (PTZ) cameras, which dynamically adjust their field of view (FOV), are pervasive in large‐scale scenes, such as train stations, squares, and airports. In real scenarios, PTZ cameras are required to quickly judge their directions using contextual clues from the surrounding environment. To achieve this goal, some research projects camera videos into three‐dimensional (3D) models or panoramas and allows operators to establish spatial relationships. However, these works face several challenges in terms of real‐time processing, localization accuracy, and realistic reference. To address this problem, a visual expansion and real‐time calibration for PTZ cameras assisted by panoramic models is proposed. The calibration method consists of three parts: Providing a real environment background by building a panoramic model, meeting the needs of real‐time processing by establishing a PTZ camera motion estimation model and achieving high‐precision alignment between PTZ images and panoramic models using only two feature point pairs. Our methods were validated using both the public and our Scene dataset. The experimental results indicate that our method outperforms other state‐of‐the‐art methods in terms of real‐time processing, accuracy, and robustness. |
Author | Cai, Liangliang Zhou, Zhong |
Author_xml | – sequence: 1 givenname: Liangliang orcidid: 0000-0001-5381-9368 surname: Cai fullname: Cai, Liangliang organization: Beihang University – sequence: 2 givenname: Zhong surname: Zhou fullname: Zhou, Zhong email: zz@buaa.edu.cn organization: Zhongguancun Laboratory |
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Snippet | ABSTRACT
Pan‐tilt‐zoom (PTZ) cameras, which dynamically adjust their field of view (FOV), are pervasive in large‐scale scenes, such as train stations, squares,... Pan‐tilt‐zoom (PTZ) cameras, which dynamically adjust their field of view (FOV), are pervasive in large‐scale scenes, such as train stations, squares, and... |
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SubjectTerms | Accuracy augmented virtual environment Calibration camera calibration Cameras Field of view key‐ray collection Motion simulation panorama Point pairs PTZ camera Railway stations Research projects |
Title | Visual Expansion and Real‐Time Calibration for Pan‐Tilt‐Zoom Cameras Assisted by Panoramic Models |
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