Results 31 to 40 of about 2,578,119 (290)
Aquila Optimization with Transfer Learning Based Crowd Density Analysis for Sustainable Smart Cities
Applied Sciences, 2022 Video surveillance in smart cities provides efficient city operations, safer communities, and improved municipal services. Object detection is a computer vision-based technology, which is utilized for detecting instances of semantic objects of a specific
Mesfer Al Duhayyim +7 more
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The force of density: political crowding and the city [PDF]
Urban Geography, 2020 This commentary examines the politics of density in urban protest and social movements, drawing on examples from Hong Kong and Mumbai.
openaire +2 more sources
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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The Effect of Crowd Support on Home-Field Advantage: Evidence from European Football [PDF]
Annals of Applied Sport Science, 2020 Background. Home field advantage exists in all professional games including professional football. Studies have revealed persistent home advantage across countries and divisions.
Tuğbay Inan
doaj
A Statistical Approach in Designing an RF-Based Human Crowd Density Estimation System
International Journal of Distributed Sensor Networks, 2016 The study of human crowd density estimation (H-CDE) using radio frequency is limited due to the nature of wireless medium and the advancement of visual-based systems.
S. Y. Fadhlullah, Widad Ismail
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Detection of High-Density Crowds in Aerial Images Using Texture Classification
Remote Sensing, 2016 Automatic crowd detection in aerial images is certainly a useful source of information to prevent crowd disasters in large complex scenarios of mass events.
Oliver Meynberg +2 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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InformationAutomated crowd counting is a crucial aspect of surveillance, especially in the context of mass events attended by large populations. Traditional methods of manually counting the people attending an event are error-prone, necessitating the development of
Abdullah N Alhawsawi +2 more
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International Journal of Religious Tourism and PilgrimageCrowd Management is always a challenging task when people gather in large numbers. Crowd disasters in India, including recurring incidents at religious venues, demands a crowd management system developed on the characteristics of the place, event, and ...
Faisel Illiyas, Shibu Mani, Naveen Babu
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A system for efficient egress scheduling during mass events and small-scale experimental demonstration [PDF]
Royal Society Open Science, 2020 Improvements in the design of pedestrian facilities have reduced the frequency of crowd accidents, and safety is now generally ensured in well-planned crowd events. However, congestion and inefficient use of infrastructures still remain an issue.
Hisashi Murakami +3 more
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