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Pedestrian detection by drones
journal contribution
posted on 2020-03-25, 15:31 authored by B Xu, N Li, H Zhu, Z Xu, Huiyu ZhouThe autonomous detection of UAV on ground targets is a crucial issue in intelligent cruise. In recent years,with the
rise of deep learning,convolutional neural networks have been tried to apply in the field of target recognition. This paper designs a
light-weight convolution neural network model suitable for tiny target detection under UAV. Using UAV real shot samples in the
NVIDIA-1080ti platform for verification,the processing speed is up to 82 frames / second.
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Computer and Digital EngineeringCopyright date
2019Available date
2019-11-01Language
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