Crowd counting and density estimation via two-column convolutional neural network

机译：通过两列卷积神经网络进行人群计数和密度估计

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This paper proposes a Two-Column Convolutional Neural Network (TCCNN) to estimate the density and count of both sparse and highly dense crowd. The architecture of TCCNN derives from VGG-16 and Alexnet. We concatenate parts of these two networks to output the estimated density map and Gaussian Kernel is employed to generate the true density map as ground truth for training. Through integral on the entire density map, the number of people within the image can be obtained. We test the proposed method on such challenging datasets as UCF_CC_50, Shanghaitech and UCSD, to which different data augmenting methods are applied. The results show that our method is of competitive performance in comparison with other state of the art approaches.

机译：本文提出了一种两列卷积神经网络（TCCNN）来估计稀疏和高密度人群的密度和计数。 TCCNN的体系结构源自VGG-16和Alexnet。我们将这两个网络的部分连接起来，以输出估计的密度图，并使用高斯核生成真实的密度图，作为训练的基础事实。通过对整个密度图进行积分，可以获得图像中的人数。我们在UCF_CC_50，Shanghaitech和UCSD等具有挑战性的数据集上测试了所提出的方法，并对其应用了不同的数据扩充方法。结果表明，与其他现有方法相比，我们的方法具有竞争优势。

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来源
《4th International Conference on Smart and Sustainable City》|2017年|1-5|共5页
会议地点 Shanghai(CN)
作者
Jianing Qiu; Wanggen Wan; Haiyan Yao; Kang Han;
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作者单位

School of Communications and Information Engineering, Shanghai University, Shanghai, China;

School of Communications and Information Engineering, Shanghai University, Shanghai, China;

School of Communications and Information Engineering, Shanghai University, Shanghai, China;

School of Communications and Information Engineering, Shanghai University, Shanghai, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
image classification; learning (artificial intelligence); neural nets; object detection;

机译：图像分类;学习（人工智能）;神经网络;目标检测;;

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1. Crowd Counting and Density Estimation In High Density Crowds Using Convolutional Neural Network [J] . Nature reviews Cancer . 2020,第2期

机译：使用卷积神经网络的高密度人群中的人群计数和密度估计
2. Crowd Counting and Density Estimation In High Density Crowds Using Convolutional Neural Network [J] . Adwan Alownie Alanazi, Sultan Daud Khan International journal of computer science and network security . 2020,第2期

机译：使用卷积神经网络的高密度人群中的人群计数和密度估计
3. Crowd density estimation based on convolutional neural networks with mixed pooling [J] . Zhang Li, Zheng Hong, Zhang Ying, Journal of electronic imaging . 2017,第5期

机译：基于混合池的卷积神经网络人群密度估计
4. CROWD COUNTING AND DENSITY ESTIMATION VIA TWO-COLUMN CONVOLUTIONAL NEURAL NETWORK [C] . Jianing Qiu, Wanggen Wan, Haiyan Yao, International Conference on Smart and Sustainable City . 2018

机译：通过两列卷积神经网络的人群计数和密度估计
5. Forecasting Retweet Count during Elections Using Graph Convolution Neural Networks [D] . Vijayan, Raghavendran. 2018

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6. Convolutional-Neural Network-Based Image Crowd Counting: Review Categorization Analysis and Performance Evaluation [O] . Naveed Ilyas, Ahsan Shahzad, Kiseon Kim 2020

机译：基于卷积神经网络的图像人群计数：审查分类分析和性能评估
7. Soybean Seed Counting Based on Pod Image Using Two-Column Convolution Neural Network [O] . Yue Li, Jingdun Jia, Li Zhang, 2019

机译：基于POD图像的大豆种子计数使用两列卷积神经网络

Crowd counting and density estimation via two-column convolutional neural network

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