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Crowd counting has been widely studied by computer vision community in recent years.
Object recognition from local scale-invariant features
D. G. Lowe · 1999
Earlier work this paper cites.
Detection of multiple, partially occluded humans in a single image by bayesian combination of edgelet part detectors
B. Wu and R. Nevatia · 2005
Earlier work this paper cites.
Privacy preserving crowd monitoring: Counting people without people models or tracking
A. B. Chan, Z.-S. J. Liang, and N. Vasconcelos · 2008
Earlier work this paper cites.
Bayesian poisson regression for crowd counting
A. B. Chan and N. Vasconcelos · 2009
Earlier work this paper cites.
Crowd counting using multiple local features
D. Ryan, S. Denman, C. Fookes, and S. Sridharan · 2009
Earlier work this paper cites.
Learning to count objects in images
V. Lempitsky and A. Zisserman · 2010
Earlier work this paper cites.
Deep sparse rectifier neural networks
X. Glorot, A. Bordes, and Y. Bengio · 2011
Earlier work this paper cites.
Density-aware person detection and tracking in crowds
M. Rodriguez, I. Laptev, J. Sivic, and J.-Y. Audibert · 2011
Earlier work this paper cites.
Automatic adaptation of a generic pedestrian detector to a specific traffic scene
M. Wang and X. Wang · 2011
Earlier work this paper cites.
Multi-source multi-scale counting in extremely dense crowd images
H. Idrees, I. Saleemi, C. Seibert, and M. Shah · 2013
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Earlier work this paper cites.
Count forest: Co-voting uncertain number of targets using random forest for crowd density estimation
V.-Q. Pham, T. Kozakaya, O. Yamaguchi, and R. Okada · 2015
Cited alongside, same era.
Cross-scene crowd counting via deep convolutional neural networks
C. Zhang, H. Li, X. Wang, and X. Yang · 2015
Cited alongside, same era.
Crowdnet: A deep convolutional network for dense crowd counting
L. Boominathan, S. S. Kruthiventi, and R. V. Babu · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Towards perspective-free object counting with deep learning
D. Onoro-Rubio and R. J. López-Sastre · 2016
Cited alongside, same era.
End-to-end crowd counting via joint learning local and global count
C. Shang, H. Ai, and B. Bai · 2016
Cnn-based cascaded multi-task learning of high-level prior and density estimation for crowd counting
V. A. Sindagi and V. M. Patel · 2017
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Generating high-quality crowd density maps using contextual pyramid cnns
V. A. Sindagi and V. M. Patel · 2017
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Divide and grow: capturing huge diversity in crowd images with incrementally growing cnn
D. Babu Sam, N. N. Sajjan, R. Venkatesh Babu, and M. Srinivasan · 2018
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Scale aggregation network for accurate and efficient crowd counting
X. Cao, Z. Wang, Y. Zhao, and F. Su · 2018
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Composition loss for counting, density map estimation and localization in dense crowds
H. Idrees, M. Tayyab, K. Athrey, D. Zhang, S. Al-Maadeed, N. Rajpoot, and M. Shah · 2018
Later among the works it cites.
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Cited alongside, same era.
Learning to count with cnn boosting
E. Walach and L. Wolf · 2016
Cited alongside, same era.
Single-image crowd counting via multi-column convolutional neural network
Y. Zhang, D. Zhou, S. Chen, S. Gao, and Y. Ma · 2016
Cited alongside, same era.
Densely connected convolutional networks
G. Huang, Z. Liu, L. Van Der Maaten, and K. Q. Weinberger · 2017
Cited alongside, same era.
Pytorch: Tensors and dynamic neural networks in python with strong gpu acceleration
A. Paszke, S. Gross, S. Chintala, and G. Chanan · 2017
Cited alongside, same era.
Switching convolutional neural network for crowd counting
D. B. Sam, S. Surya, and R. V. Babu · 2017
Cited alongside, same era.
Y. Li, X. Zhang, and D. Chen · 2018
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Iterative crowd counting
V. Ranjan, H. Le, and M. Hoai · 2018
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Crowd counting via adversarial cross-scale consistency pursuit
Z. Shen, Y. Xu, B. Ni, M. Wang, J. Hu, and X. Yang · 2018
Later among the works it cites.
Crowd counting with deep negative correlation learning
Z. Shi, L. Zhang, Y. Liu, X. Cao, Y. Ye, M.-M. Cheng, and G. Zheng · 2018
Later among the works it cites.
Denseaspp for semantic segmentation in street scenes
M. Yang, K. Yu, C. Zhang, Z. Li, and K. Yang · 2018
Later among the works it cites.
Crowd counting via scale-adaptive convolutional neural network
L. Zhang, M. Shi, and Q. Chen · 2018
Later among the works it cites.