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SURVEILLANCE SYSTEM WITH LANDMARK LOCALIZATION ON OBJECTS IN IMAGES USING CONVOLUTIONAL NEURAL NETWORKS
SURVEILLANCE SYSTEM WITH LANDMARK LOCALIZATION ON OBJECTS IN IMAGES USING CONVOLUTIONAL NEURAL NETWORKS
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机译:卷积神经网络的图像目标地标监视系统
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摘要
A surveillance system and method are provided. The surveillance system includes an image capture device configured to capture an actual image of a target area depicting an object. The surveillance system further includes a processor. The processor is configured to render, based on a set of 3D Computer Aided Design (CAD) models, synthetic images with intermediate shape corresponding concept labels. The processor is further configured to form a multi-layer Convolutional Neural Network (CNN) which jointly models multiple intermediate shape concepts, based on the rendered synthetic images. The processor is also configured to perform an intra-class appearance variation-aware and occlusion-aware 3D object parsing on the actual image by applying the CNN to the actual image to generate an image pair including a 2D and 3D geometric structure of the object depicted in the actual image. The surveillance system further includes a display device configured to display the image pair.
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