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Visual Expansion and Real-time Calibration for Pan-tilt-zoom Cameras Assisted by Panoramic Models
  • Liangliang Cai,
  • Zhong Zhou
Liangliang Cai
State Key Laboratory of Virtual Reality Technology and Systems
Author Profile
Zhong Zhou
State Key Laboratory of Virtual Reality Technology and Systems

Corresponding Author:zz@buaa.edu.cn

Author Profile

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 make decisions informed about where to direct its focus through contextual cues from the surrounding environment. To achieve this goal, some researches project camera videos into three-dimensional (3D) models or panoramas and allow operators to perceive spatial relationships. However, these works face several challenges in terms of real-time processing, localization accuracy, and realistic reference. To address this problem, we propose a visual expansion and real-time calibration for PTZ cameras assisted by panoramic models. We attempt to meet the demand for real-time processing with a motion estimation model for a PTZ camera, to improve calibration performance of PTZ images with only two feature point pairs, and to provide a realistic environmental context through a panoramic model. We verify our methods on both public and our self-built test scene. It can be seen from the experimental results that our method can exhibit impressive accuracy and efficiency.
22 Jul 2024Submitted to Computer Animation and Virtual Worlds
22 Jul 2024Submission Checks Completed
22 Jul 2024Assigned to Editor
09 Aug 2024Reviewer(s) Assigned
18 Sep 2024Review(s) Completed, Editorial Evaluation Pending
01 Nov 2024Editorial Decision: Revise Major