The researchers explained that computer vision technology is increasingly being used in automated
Scientists have determined that nighttime images are affected by low light and artificial lighting effects such as glare, glow, and spotlights. Rain also reduces the visibility of cameras by several times.
“Many computer vision systems such asautomatic surveillance or autonomous vehicles, rely on clear visibility of the input video to operate. For example, cars cannot work reliably in heavy rain, and automatic video surveillance systems often fail at night, especially if the scenes are dark or there is significant glare, ”the scientists noted.
AI has been taught to translate code from one language to another
Scientists have applied deep learning algorithms toimproving the quality of night photos and videos taken in the rain. In the first study, they increased brightness while simultaneously suppressing noise and light effects (glare, glow) to produce crisp night images. This technique is new and solves the problem of the clarity of night images and video when there is no normal weather conditions for a normal frame.
Researchers were also able to improve 3Dassessment of the poses of those people who are in the frame. By combining these two approaches, the new method allows for a more reliable estimate of posture even within crowds, as well as accurately calculating the distance between people.
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