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USING NEURAL NETWORKS FOR OBJECT DETECTION IN A SCENE HAVING A WIDE RANGE OF LIGHT INTENSITIES
USING NEURAL NETWORKS FOR OBJECT DETECTION IN A SCENE HAVING A WIDE RANGE OF LIGHT INTENSITIES
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机译:利用神经网络在具有各种光强度的场景中进行对象检测
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摘要
The present invention relates to an apparatus comprising a method and a computer program product for processing images taken by a camera (202) for monitoring a scene (200). An image set (204, 206, 208) is received. The image set 204 , 206 , 208 includes images of the scene 200 taken by the camera 202 , with different exposure times. The image sets 204 , 206 , 208 are processed by a trained neural network 210 configured to perform object detection, object classification and/or object recognition in image data, wherein the neural network 210 includes the image set 204 , Detect objects in image sets 204 , 206 , 208 using image data from at least two or more images with different exposure times in 206 , 208 .
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