Large scale crowd analysis based on convolutional neural network
Introduction 本論文主要是用CNN網絡計算人羣進出流量的。主要貢獻在於： 1.通過3個CNN模型，估計進入和離開人羣的數量。與傳統方法比，這種方法在實際場景下有更好的魯棒性。此外，這個方法結合了分類CNN（對於人流模型，進入或退出）和迴歸CNN模型（人流數量），一般的方法只是直接用迴歸CNN模型計算人數。 2.建立了一個包含140,000個時間切片圖，其中有7個真實場景和許多人。 3.
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相關文章
- 1. A mixed-scale dense convolutional neural network for image analysis
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