An Overview of Crowd Counting on Traditional and CNN-based Approaches
Author:
Affiliation:
1. Chengdu University of Technology, China
2. Sichuan University of Science and Engineering, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3449301.3449779
Reference79 articles.
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3. Ryan D Denman S Sridharan S etalAn evaluation of crowd counting methods features and regression models[J].Computer Vision & Image Understanding 2015 130(C):1-17. Ryan D Denman S Sridharan S et al.An evaluation of crowd counting methods features and regression models[J].Computer Vision & Image Understanding 2015 130(C):1-17.
4. Loy C C Chen K Gong S etalCrowd counting and profiling:Methodology and evaluation[M]//Ali S Nishino K Manocha D et al.Modeling Simulation and Visual Analysis of Crowds Berlin:Springer 2013:347-382. Loy C C Chen K Gong S et al.Crowd counting and profiling:Methodology and evaluation[M]//Ali S Nishino K Manocha D et al.Modeling Simulation and Visual Analysis of Crowds Berlin:Springer 2013:347-382.
5. Saleh S A M Suandi S A Ibrahim H.Recent survey on crowd density estimation and counting for visual surveillance[J].Engineering Applications of Artificial Intelligence 2015 41:103-114. Saleh S A M Suandi S A Ibrahim H.Recent survey on crowd density estimation and counting for visual surveillance[J].Engineering Applications of Artificial Intelligence 2015 41:103-114.
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