Crowd Counting（人群计数）

Single-Image Crowd Counting via Multi-Column Convolutional Neural Network（CVPR_2016）

We have proposed a simple but effective Multi-column Convolutional Neural Network (MCNN) architecture to map the image to its crowd density map. The proposed MCNN allows the input image to be of arbitrary size or resolution.By utilizing filters with receptive fields of different sizes, the features learned by each column CNN are adaptive to variations in people/head size due to perspective effect or image resolution. 

Our MCNN contains three columns of convolutional neural networks whose filters have different sizes. Input of the MCNN is the image, and its output is a crowd density mapwhose integral gives the overall crowd count. The three columns correspond to filters with receptive fields of different sizes (large, medium, small) so that the features learned by each column CNN is adaptive to (hence the overall network is robust to) large variation in people/head size due to perspective effect or across different image resolutions.

CrowdNet : A Deep Convolutional Network for Dense Crowd Counting

We use a combination of deep and shallow, fully convolutional networks to predict the density map for a given crowd image. Such a combination is used for effectively capturing both the high-level semantic information (face/body detectors) and the low-level features (blob detectors), that are necessary for crowd counting under large scale variations. Our deep network captures the desired high-level semantics required for crowd counting. In our model, we aim to recognize the low-level head blob patterns, arising from people away from the camera, using a shallow convolutional network. 

Crowd Counting and Density Estimation via Two-Column Convolutional Neural Network

This paper proposes a Two-Column Convolutional Neural Network （TCNN） to estimate the density and count of both sparse and highly dense crowd. The architecture of TCNN derives from VGG-16 and Alexnet.

References

[1] Single-Image Crowd Counting via Multi-Column Convolutional Neural Network

[2] CrowdNet : A Deep Convolutional Network for Dense Crowd Counting

[3] Crowd Countiong and Density Estimation via Two-Column Convolutional Neural Network