Abstract
This study proposes a novel concept of actuator-driven frame-by-frame intermittent tracking for motion-blur-free video shooting of fast-moving objects. The camera frame and shutter timings are controlled for motion blur reduction in synchronization with a free-vibration-type actuator vibrating with a large amplitude at hundreds of hertz so that motion blur can be significantly reduced in free-viewpoint high-frame-rate video shooting for fast-moving objects by deriving the maximum performance of the actuator. We develop a prototype of a motion-blur-free video shooting system by implementing our frame-by-frame intermittent tracking algorithm on a high-speed video camera system with a resonant mirror vibrating at 750 Hz. It can capture 1024 × 1024 images of fast-moving objects at 750 fps with an exposure time of 0.33 ms without motion blur. Several experimental results for fast-moving objects verify that our proposed method can reduce image degradation from motion blur without decreasing the camera exposure time.
Highlights
High-speed cameras are widely used in high-frame-rate (HFR) video shooting for fast-moving scenes in various applications such as factory inspection, biomedicine, multimedia and civil engineering
Building on the camera-driven frame-by-frame intermittent tracking method [28] in which the actuators are simultaneously controlled for tracking in synchronization with the camera’s frame timings, we extend the method to the actuator-driven frame-by-frame intermittent tracking method so that the camera’s frame timings are controlled for motion-blur-free video shooting in synchronization with the large amplitude vibration of a free-vibration-type actuator such as a resonant mirror vibrating at a high frequency corresponding to its natural frequency
We developed a motion-blur-free video shooting system based on the concept of actuator-driven frame-by-frame intermittent tracking
Summary
High-speed cameras are widely used in high-frame-rate (HFR) video shooting for fast-moving scenes in various applications such as factory inspection, biomedicine, multimedia and civil engineering. When video shooting fast-moving scenes with high magnification, such as precise product inspection on a conveyor line, road surface and tunnel wall inspection from a fast-moving car and flowing cells in microscopic fields, the trade-off between brightness and motion blur in video shooting is distinctly aggravated This is because the light intensity projected on the image sensor is lowered and the apparent speed increases with increasing magnification enabled for precise observation. Considering a camera motion model such as a perspective motion model [23] and simplified three-DOF models [24,25], several studies have reported motion deblurring systems by estimating the camera’s egomotion with gyro sensors and accelerometers [26] or the camera’s geometric location [27] Most of these motion deblurring methods dealt with image restoration of input images degraded due to motion blur, and they did not consider the acquisition of non-blurred input images.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
