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Motion-Blur-Free High-Speed Video Shooting Using a Resonant Mirror
Michiaki Inoue1, Qingyi Gu2, Mingjun Jiang3
1Department of System Cybernetics, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8527, Japan. inoue@robotics.hiroshima-u.ac.jp.
Sensors (Basel, Switzerland)
|November 8, 2017
Summary
This study introduces actuator-driven intermittent tracking for blur-free video of fast objects. The system synchronizes camera timing with a high-frequency actuator, significantly reducing motion blur in high-speed footage.
Area of Science:
- Optics and Photonics
- Mechanical Engineering
- Image Processing
Background:
- Fast-moving objects pose challenges for traditional video capture due to motion blur.
- High-speed video often requires trade-offs between frame rate, exposure time, and image quality.
- Existing methods struggle to eliminate motion blur without compromising other critical video parameters.
Purpose of the Study:
- To propose and validate a novel actuator-driven frame-by-frame intermittent tracking system.
- To achieve motion-blur-free video recording of fast-moving objects.
- To maximize the performance of a free-vibration-type actuator for enhanced video capture.
Main Methods:
- Implementing frame-by-frame intermittent tracking algorithm on a high-speed camera system.
- Synchronizing camera frame and shutter timings with a resonant mirror actuator vibrating at 750 Hz.
- Utilizing a free-vibration-type actuator with large amplitude and high frequency (hundreds of Hz).
Main Results:
- Developed a prototype motion-blur-free video shooting system.
- Successfully captured 1024x1024 images at 750 fps with 0.33 ms exposure time without motion blur.
- Verified significant reduction in motion blur degradation for fast-moving objects through experimental results.
Conclusions:
- The proposed actuator-driven intermittent tracking effectively eliminates motion blur in high-speed video.
- The system achieves high-frame-rate, motion-blur-free capture without reducing camera exposure time.
- This novel approach enhances video quality for dynamic subjects, maximizing actuator performance.

