Abstract
In this paper, a concept of frame-by-frame intermittent tracking to achieve motion-blur-free and high-brightness images when video shooting fast moving scenes is proposed. In our tracking concept, two control methods are applied alternately at hundreds of hertz, according to the open or closed shutter state of the camera. When the shutter is open, the target’s speed in images is controlled at zero and visual feedback is transmitted to achieve motion blur reduction, and when the shutter is closed, the camera returns to its home position. We developed a prototype of our motion-blur-free video shooting system, which consists of our tracking method implemented on a high-speed two degrees-of-freedom tracking vision platform that controls the pan and tilt directions of the camera view by using high-speed video processing in order to reduce motion blur. Our motion-blur-free video shooting system can capture gray-level 512times 512 images at 125 fps with frame-by-frame intermittent tracking. Its performance is verified by the experimental results for several video sequences of fast moving objects. In the experiments, without a decrease in the exposure times our method reduced image degradation caused by motion blur.
Highlights
Motion blur is a well-known phenomenon that occurs when shooting images of fast moving scenes
System configuration We developed a prototype motion-blur-free video-shooting system, which is designed for frame-by-frame intermittent tracking to allow zoom-in imaging of fast moving objects without incurring motion blur
In this study, we developed a motion-blur-free video shooting system based on a concept of frame-by-frame intermittent tracking, in which the control of the camera shutter state is alternated at a rate of hundreds of fps
Summary
Motion blur is a well-known phenomenon that occurs when shooting images of fast moving scenes. We introduce a frame-by-frame intermittent tracking method [24] that can reduce motion blur in video shooting by alternating control methods in a high-speed active vision system, from vision-based tracking control to back-to-home control, according to whether the camera shutter is open or closed; the active vision system changes the optical path to the image sensor 2. Trajectory generation for intermittent tracking The desired angular trajectory in the pan and tilt directions of the mirror-drive 2-DOF active vision system, θ d(t) = (φd(t), ψd(t)), is generated using the apparent angular velocity of the target object, ω((k − 1)τ ) , which is estimated at t = (k − 1)τ, in order to cancel its apparent motion on the image sensor when the shutter is open from t = kτ to kτ + τo: θd(t) = (φd(t), ψd(t)). We confirmed that all the processes could be executed for 512 × 512 images in real time at 125 fps with an exposure time of 4 ms
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