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Subframe-Level Synchronization in Multi-Camera System Using Time-Calibrated Video
Xiaoshi Zhou1, Yanran Dai2, Haidong Qin1
1National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, SAIIP, The School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China.
This study introduces a new subframe synchronization method for multi-camera systems, eliminating the need for hardware triggers. The technique achieves precise temporal alignment using time-calibrated video and interpolation algorithms.
Area of Science:
- Computer Vision
- Signal Processing
- Robotics
Background:
- Precise synchronization is essential for multi-camera systems in diverse applications.
- Traditional hardware-triggered synchronization is labor-intensive, costly, and limits setup flexibility.
Purpose of the Study:
- To develop a novel subframe synchronization technique for multi-camera systems.
- To eliminate the reliance on additional hardware triggers for synchronization.
Main Methods:
- Utilized a time-calibrated video with markers and a uniformly moving ball.
- Extracted temporal relationships between local and global time systems.
- Calculated new timestamps and performed frame-level alignment.
- Employed interpolation algorithms for subframe-level synchronization.
Main Results:
- Achieved robust and highly temporally precise synchronization.
- Demonstrated adaptability for demanding multi-camera setups.
- Validated the effectiveness of the hardware-free approach.
Conclusions:
- The proposed subframe synchronization method offers a cost-effective and flexible alternative to traditional techniques.
- This approach enables precise temporal alignment without external hardware, enhancing multi-camera system deployment.
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