Crowd counting based on fusion of deep convolutional network and dilated convolution

A combined structure based on Visual Geometry Group19(VGG19) and dilated convolution with different receptive field was proposed for high density crowd counting in the paper.The structure adopted would not be affected by the size and resolution of the input image.By setting the serration dilation rate,the network receptive field was expanded,and the target could be accurately localized without any loss of resolution,which improved the accuracy of detection.Finally,the experimental results showed that the algorithm had higher accuracy on the standard data set of Shanghai-tech