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Crowd counting on static images is a challenging problem due to scale variations.
“Estimation of number of people in crowded scenes using perspective transformation,”
Sheng-Fuu Lin, Jaw-Yeh Chen, and Hung-Xin Chao, · 2001
Earlier work this paper cites.
“Histograms of oriented gradients for human detection,”
Navneet Dalal and Bill Triggs, · 2005
Earlier work this paper cites.
“Privacy preserving crowd monitoring: Counting people without people models or tracking,”
Antoni B Chan, Zhang-Sheng John Liang, and Nuno Vasconcelos, · 2008
Earlier work this paper cites.
“Marked point processes for crowd counting,”
Weina Ge and Robert T Collins, · 2009
Earlier work this paper cites.
“Bayesian poisson regression for crowd counting,”
Antoni B Chan and Nuno Vasconcelos, · 2009
Earlier work this paper cites.
“Shape-based human detection and segmentation via hierarchical part-template matching,”
Zhe Lin and Larry S Davis, · 2010
Earlier work this paper cites.
“Learning to count objects in images,”
Victor Lempitsky and Andrew Zisserman, · 2010
Earlier work this paper cites.
“Rectified linear units improve restricted boltzmann machines,”
Vinod Nair and Geoffrey E Hinton, · 2010
Cited alongside, same era.
“Automatic adaptation of a generic pedestrian detector to a specific traffic scene,”
Meng Wang and Xiaogang Wang, · 2011
Cited alongside, same era.
“Density-aware person detection and tracking in crowds,”
Mikel Rodriguez, Ivan Laptev, Josef Sivic, and Jean-Yves Audibert, · 2011
Cited alongside, same era.
“Feature mining for localised crowd counting.,”
Ke Chen, Chen Change Loy, Shaogang Gong, and Tony Xiang, · 2012
Cited alongside, same era.
Min Lin, Qiang Chen, and Shuicheng Yan, · 2013
Cited alongside, same era.
“Detecting humans in dense crowds using locally-consistent scale prior and global occlusion reasoning,”
Haroon Idrees, Khurram Soomro, and Mubarak Shah, · 2015
Later among the works it cites.
“Cross-scene crowd counting via deep convolutional neural networks,”
Cong Zhang, Hongsheng Li, Xiaogang Wang, and Xiaokang Yang, · 2015
Later among the works it cites.
“Deep people counting in extremely dense crowds,”
Chuan Wang, Hua Zhang, Liang Yang, Si Liu, and Xiaochun Cao, · 2015
Later among the works it cites.
“Going deeper with convolutions,”
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich, · 2015
Later among the works it cites.
“Single-image crowd counting via multi-column convolutional neural network,”
Yingying Zhang, Desen Zhou, Siqin Chen, Shenghua Gao, and Yi Ma, · 2016
Later among the works it cites.
“Crowdnet: A deep convolutional network for dense crowd counting,”
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Haroon Idrees, Imran Saleemi, Cody Seibert, and Mubarak Shah, · 2013
Cited alongside, same era.
“Caffe: Convolutional architecture for fast feature embedding,”
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell, · 2014
Cited alongside, same era.
Lokesh Boominathan, Srinivas SS Kruthiventi, and R Venkatesh Babu, · 2016
Later among the works it cites.