Pedestrian detection by drones

Abstract

The autonomous detection of UAV on ground targets is a crucial issue in intelligent cruise. In recent years,with therise of deep learning,convolutional neural networks have been tried to apply in the field of target recognition. This paper designs alight-weight convolution neural network model suitable for tiny target detection under UAV. Using UAV real shot samples in theNVIDIA-1080ti platform for verification,the processing speed is up to 82 frames / second.</p

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