Large scale crowd analysis based on convolutional neural network
Introduction 本论文主要是用CNN网络计算人群进出流量的。主要贡献在于： 1.通过3个CNN模型，估计进入和离开人群的数量。与传统方法比，这种方法在实际场景下有更好的鲁棒性。此外，这个方法结合了分类CNN（对于人流模型，进入或退出）和回归CNN模型（人流数量），一般的方法只是直接用回归CNN模型计算人数。 2.建立了一个包含140,000个时间切片图，其中有7个真实场景和许多人。 3.
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相关文章
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