Results 21 to 30 of about 645,498 (280)
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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SSRN Electronic Journal, 2019 ABSTRACTIn China, between 2006 and 2013, local public debt crowded out the investment of private firms by tightening their funding constraints while leaving state‐owned firms' investment unaffected. We establish this result using a purpose‐built data set for Chinese local public debt.
Yi Huang, Marco Pagano, Ugo Panizza
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A Generalized Loss Function for Crowd Counting and Localization [PDF]
, 2021 Previous work [40] shows that a better density map representation can improve the performance of crowd counting. In this paper, we investigate learning the density map representation through an unbalanced optimal transport problem, and propose a ...
Liu, Z, Chan, AB, Wan, J
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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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German crowd-investing platforms: Literature review and survey [PDF]
, 2016 This article presents a comprehensive overview of the current German crowd-investing market drawing on a data-set of 31 crowd-investing platforms including the analysis of 265 completed projects. While crowd-investing market still only represents a niche
David Grundy +3 more
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Learning Independent Instance Maps for Crowd Localization [PDF]
, 2022 Accurately locating each head's position in the crowd scenes is a crucial task in the field of crowd analysis. However, traditional density-based methods only predict coarse prediction, and segmentation/detection-based methods cannot handle extremely ...
Gao, Junyu +4 more
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IEEE Access, 2021 Crowd-sourcing has become a promising way to build a feature-based indoor positioning system that has lower labour and time costs. It can make full use of the widely deployed infrastructure as well as built-in sensors on mobile devices.
Caifa Zhou +3 more
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Comptes Rendus. Mathématique, 2011 We present a new class of macroscopic models for pedestrian flows. Each individual is assumed to move toward a fixed target, deviating from the best path according to the crowd distribution. The resulting equation is a conservation law with a non-local flux.
COLOMBO, Rinaldo Mario +2 more
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Coordinated crowd simulation with topological scene analysis [PDF]
, 2016 This paper proposes a new algorithm to produce globally coordinated crowds in an environment with multiple paths and obstacles. Simple greedy crowd control methods easily lead to congestion at bottlenecks within scenes, as the characters do not cooperate
Taku Komura +6 more
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A Survey of Robot Swarms’ Relative Localization Method
Sensors, 2022 For robot swarm applications, accurate positioning is one of the most important requirements for avoiding collisions and keeping formations and cooperation between individuals.
Siyuan Chen, Dong Yin, Yifeng Niu
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