Results 21 to 30 of about 322,190 (190)
IEEE Access, 2020 Nowadays, crowd analysis is one of the most important concepts that needs be relied upon, it contributes to decision making and ensuring the safety and security of the crowd.
Reem Alotaibi +5 more
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Sample labeler for crowd counting based on a first neighbor clustering
Xi'an Gongcheng Daxue xuebao, 2021 In terms of crowd counting methods, usually a large number of labeled samples were meeded to train a counting model. In practical applications, to solve the problem of high cost and low efficiency of manually labeling samples, a new sample labeling ...
Kaibing ZHANG +3 more
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HAGN: Hierarchical Attention Guided Network for Crowd Counting
IEEE Access, 2020 In recent years, deep learning based crowd counting networks have achieved significant progress. However, most of them generate rough crowd density maps due to low-resolution features used for estimating crowd distribution, which affects the performance ...
Zuodong Duan, Yujun Xie, Jiahao Deng
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Crowd Counting Algorithm Based on Feature Pyramid Network [PDF]
Jisuanji gongcheng, 2019 The single-picture crowd count has a sharp decline in performance due to severe population occlusion and scale changes.Therefore,this paper proposes an algorithm for crowd counting pictures,and gives a Full Convolution Network(FCN) capable of processing ...
MA Hao, YIN Baoqun, PENG Sifan
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MAC Address Anonymization for Crowd Counting [PDF]
Algorithms, 2022 Research has shown that counting WiFi packets called probe requests (PRs) implicitly provides a proxy for the number of people in an area. In this paper, we discuss a crowd counting system involving WiFi sensors detecting PRs over the air, then extracting and anonymizing their media access control (MAC) addresses using a hash-based approach. This paper
Jean-François Determe +3 more
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SRNet: Scale-Aware Representation Learning Network for Dense Crowd Counting
IEEE Access, 2021 Huge variations in the scales of people in images create an extremely challenging problem in the task of crowd counting. Currently, many researchers apply multi-column structures to solve the scale variation problem.
Liangjun Huang +4 more
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Iterative Crowd Counting [PDF]
, 2018 ECCV ...
Viresh Ranjan, Hieu Le 0001, Minh Hoai
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A Novel Device-Free Counting Method Based on Channel Status Information
Sensors, 2018 Crowd counting is of significant importance for numerous applications, e.g., urban security, intelligent surveillance and crowd management. Existing crowd counting methods typically require specialized hardware deployment and strict operating conditions,
Junhuai Li +4 more
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FSC-Set: Counting, Localization of Football Supporters Crowd in the Stadiums
IEEE Access, 2022 Counting the number of people in a crowd has gained attention in the last decade. Due to its benefit to many applications such as crowd behavior analysis, crowd management, and video surveillance systems, etc.
Omar Elharrouss +5 more
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Crowd Counting Network with Attention Mechanism and Contextual Density Map [PDF]
Jisuanji gongcheng, 2022 To analyze the flow of people in a business district and avoid crowd stampedes, the crowd counting method is usually used to count the number of people in a monitoring image to achieve the effect of early warning.Affected by target occlusion, background ...
WU Qiyuan, WANG Xiaodong, ZHANG Lianjun, GAO Hailing, ZHAO Shenhao
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