However, a trade-off exists between brightness and motion blur in image shooting, because it is difficult to obtain non-blurred bright images with a decreased exposure time, since less light is then projected onto the image sensor. The degradation degree of images caused by motion blur depends on the duration of the camera exposure, as well as on the apparent speed of the target scenes, and the camera’s exposure time is often decreased in order to reduce motion blur. Motion blur is a well-known phenomenon that occurs when shooting images of fast moving scenes. In the experiments, without a decrease in the exposure times our method reduced image degradation caused by motion blur. Its performance is verified by the experimental results for several video sequences of fast moving objects. Our motion-blur-free video shooting system can capture gray-level \(512\times 512\) images at 125 fps with frame-by-frame intermittent tracking. 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. 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. 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. 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.
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