人羣密度分析學習之路

研究方法 CNN

準備資料

1 數據

1.1 小型分類數據準備（代碼）

學習將一個數據集合轉爲LMDB

http://www.cnblogs.com/alexcai/p/5469436.html

 1.2 密度數據準備（數據）

mall-dataset數據庫下載鏈接

http://personal.ie.cuhk.edu.hk/~ccloy/downloads_mall_dataset.htmlz

http://blog.csdn.net/garfielder007/article/details/51519575

1.3 密度圖生成（代碼）

公開數據庫給點的常常是點集，密度的使用是通過一個脈衝函數卷積高斯核模擬真實場景

密度圖生成原理http://blog.csdn.net/snwang_miss/article/details/77851203

https://github.com/davideverona/deep-crowd-counting_crowdnet

這個鏈接中有使用python寫的生成密度圖的代碼

1.4 訓練數據準備（代碼數據轉換）

    1.4.1 輸入數據使用.h5格式存儲

http://blog.csdn.net/shuzfan/article/details/52503683

caffe HDF5Data 層使用及數據生成

http://blog.csdn.net/u011762313/article/details/48851015

Caffe中HDF5Data例子

   1.4.2 輸入數據使用密度圖

2 網絡使用

   網絡

人羣分析 Slicing Convolutional Neural Network for Crowd Video Understanding CVPR2016
http://www.ee.cuhk.edu.hk/~jshao/SCNN.html
Caffe code: https://github.com/amandajshao/Slicing-CNN

人體檢測 End-to-end people detection in crowded scenes CVPR2016
https://github.com/Russell91/ReInspect

人羣計數 Single-Image Crowd Counting via Multi-Column Convolutional Neural Network CVPR2016
https://github.com/svishwa/crowdcount-mcnn
https://github.com/leeyeehoo/Reduplication-of-Single-Image-Crowd-Counting-via-MCNN-on-UCF-Dataset

人羣計數 Switching Convolutional Neural Network for Crowd Counting CVPR2017
https://github.com/val-iisc/crowd-counting-scnn

人羣分析 Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
https://www.microsoft.com/en-us/research/publication/deep-spatio-temporal-residual-networks-for-citywide-crowd-flows-prediction/
https://github.com/lucktroy/DeepST/tree/master/scripts/papers/AAAI17

人羣分析 物體計數 Towards perspective-free object counting with deep learning ECCV2016
https://github.com/gramuah/ccnn

人羣計數 CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting AVSS 2017
https://github.com/svishwa/crowdcount-cascaded-mtl

人羣計數 CrowdNet: A Deep Convolutional Network for Dense Crowd Counting Caffe:
https://github.com/davideverona/deep-crowd-counting_crowdnet

2. 環境

ubuntu+caffe

安裝方法

http://blog.csdn.net/autocyz/article/details/52299889
http://blog.csdn.net/xuzhongxiong/article/details/52717285

3 運行

 http://blog.csdn.net/qq_14845119/article/details/68946727#comments

http://blog.csdn.net/qq_14845119/article/details/68946693