2results about How to "Avoid noise effects" patented technology

The application provides a kind of unattended station personnel invasion identification method and device, the method comprises: the picture to be detected is input to personnel invasion identification model, obtains the invasion identification result of personnel invasion identification model output;Wherein, personnel invasion identification model includes image denoising network, feature extraction network, occlusion perception attention network and invasion prediction network, image denoising network is used to denoising sample picture, based on occlusion perception attention network is used to apply sample picture feature, determine the correlation between the occluded human body area and the unoccluded human body area in sample picture.The image denoising network is used to denoise the picture, so as to avoid the noise influence brought by natural environment such as wind, frost, rain, snow and fog to data source.In addition, through the occlusion perception attention network, the problem that human body occlusion caused by the invasion personnel climbing wall affects the invasion personnel identification can be avoided.

The application discloses a kind of based on the dual hand reconstruction method of multi-scale color information and depth information fusion.Utilize dual-flow feature extraction model respectively to extract monocular RGB-D image multi-scale color feature, left and right hand corresponding center point feature and multi-scale depth feature;Then use pyramid type depth fusion network to fuse multi-scale color feature, left and right hand corresponding center point feature and multi-scale depth feature, obtain left and right hand corresponding global fusion feature;Finally, according to left and right hand corresponding global fusion feature, using GCN decoder generates dual hand grid in camera coordinate system.The application can fully fuse color information and depth information to reconstruct both hands, reduce the blur effect in RGB image and the noise in depth image, greatly improve the reconstruction accuracy, and enhance the robustness of model;Meanwhile, the application can accurately reconstruct three-dimensional hand grid with real depth and scale in camera space, overcome the limitation of relying on root node output.