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1.发明公开
公开(公告)号：EP4064212A2
公开(公告)日：2022-09-28
申请号：EP22180961.9
申请日：2022-06-24
发明人： WANG, Xiangyang , XING, Huaifei
摘要： The present disclosure provides a method and apparatus for detecting a camera occlusion, an electronic device, a computer readable storage medium and a computer program product, and relates to the fields of technologies such as a image recognition technology, a cloud service technology and an abnormal state detection technology. The method comprises: determining a background image corresponding to a current time period in response to a camera not moving; determining, according to an actual image of a current frame and the background image, a foreground image of the current frame; determining a target area of a separate object having a largest outer contour in the foreground image; and determining an occlusion state of the camera at the current frame according to the target area. According to the method, the background image is controlled to correspond to the time when the camera does not move, so as to avoid the error discrimination that the moving camera is erroneously discriminated as being in the occlusion state. The occlusion state is determined according to the target area of the separate object having the largest outer contour in the foreground image, which can avoid the error discrimination caused by the sum of the areas of a plurality of moving small objects exceeding an area threshold, thereby improving the accuracy of the discrimination for the occlusion state of the camera.
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2.发明公开
公开(公告)号：EP4145844A1
公开(公告)日：2023-03-08
申请号：EP22196149.3
申请日：2022-09-16
发明人： WANG, Xiangyang , XING, Huaifei
摘要： A method for detecting a jitter in a video includes obtaining (101) video frames of a video, in which the video frames include a target video frame and a plurality of historical video frames before the target video frame, determining (102) moving distances in a preset distance of the video frames relative to corresponding previous video frames, determining (103) a target amplitude and a target period in the preset direction for the target video frame; and determining (104) that there is a jitter in a video in response to the target amplitude in the preset direction determined for the target video frame being greater than a preset amplitude and the target period being less than a preset period.
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3.发明公开
公开(公告)号：EP4064212A3
公开(公告)日：2022-12-28
申请号：EP22180961.9
申请日：2022-06-24
发明人： WANG, Xiangyang , XING, Huaifei
摘要： The present disclosure provides a method and apparatus for detecting a camera occlusion, an electronic device, a computer readable storage medium and a computer program product, and relates to the fields of technologies such as a image recognition technology, a cloud service technology and an abnormal state detection technology. The method comprises: determining a background image corresponding to a current time period in response to a camera not moving; determining, according to an actual image of a current frame and the background image, a foreground image of the current frame; determining a target area of a separate object having a largest outer contour in the foreground image; and determining an occlusion state of the camera at the current frame according to the target area. According to the method, the background image is controlled to correspond to the time when the camera does not move, so as to avoid the error discrimination that the moving camera is erroneously discriminated as being in the occlusion state. The occlusion state is determined according to the target area of the separate object having the largest outer contour in the foreground image, which can avoid the error discrimination caused by the sum of the areas of a plurality of moving small objects exceeding an area threshold, thereby improving the accuracy of the discrimination for the occlusion state of the camera.
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公开(公告)号：EP4033444A3
公开(公告)日：2022-12-07
申请号：EP22177965.5
申请日：2022-06-08
发明人： CAI, Jiayin , XING, Huaifei
摘要： The present disclosure provides a method and an apparatus for enhancing image quality, a device, and a medium, relates to the field of artificial intelligence and specifically to computer vision and deep learning technologies, and can be applied to an image processing scenario. The method includes: determining an ROI and an RONI in an image to be processed; inputting the ROI to an ROI image quality enhancement model, to obtain first image data output from the ROI image quality enhancement model; inputting the RONI to an RONI image quality enhancement model, to obtain second image data output from the RONI image quality enhancement model; and blending the first image data and the second image data.
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