Results 51 to 60 of about 4,521,340 (293)
IET Image Processing, 2021 Since the era of we‐media, live video industry has shown an explosive growth trend. For large‐scale live video streaming, especially those containing crowd events that may cause great social impact, how to identify and supervise the crowd activity in ...
Junpeng Kang +3 more
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A novel simulation framework for crowd transportations
International Journal of Crowd Science, 2021 PurposeWith the development of the modern economy, vehicles are no longer a luxury for people, which greatly facilitate people's daily life, but at the same time bring traffic congestion.
Zhihui Li, Hongbo Sun
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A Blockchain-Based Trusted Upload Scheme for the Internet of Things Nodes
International Journal of Crowd Science, 2022 In recent years, the theory and method of swarm intelligence based on the Internet have become the core research field of the new generation of Internet of Things (IoT). Both play a basic and supporting role in other research fields of IoT.
Yulei Jiao, Cexun Wang
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COVID-19 Spread Simulation in a Crowd Intelligence Network
International Journal of Crowd Science, 2022 In this paper, the Crowd Intelligence Network Model is applied to the simulation of epidemic spread. This model combines the multi-layer coupling network model and the two-stage feedback member model to study the epidemic spread mechanisms under multiple-
Linzhi Shan, Hongbo Sun
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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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Crowd Behavior Recognition Using Hybrid Tracking Model and Genetic algorithm Enabled Neural Network
International Journal of Computational Intelligence Systems, 2017 In the current era, crowd behavior analysis is important topic due to the significance of video surveillance in the public area. Literature presents a handful of works for crowd behavior detection and analysis.
Manoj Kumar, Charul Bhatnagar
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MH-MetroNet—A Multi-Head CNN for Passenger-Crowd Attendance Estimation
Journal of Imaging, 2020 Knowing an accurate passengers attendance estimation on each metro car contributes to the safely coordination and sorting the crowd-passenger in each metro station.
Pier Luigi Mazzeo +6 more
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Analysis of Crowd Congestion Degree in Narrow Space Based on Attention Mechanism [PDF]
Jisuanji gongcheng, 2020 The analysis of crowd congestion degree is very important to maintain public safety.Generally,in a narrow space the perspective is limited,and the human-human occlusion and human-item occlusion are serious.In addition,because of the different scales of ...
ZHANG Jing, CHEN Qingkui
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DCTNets: Deep crowd transfer networks for an approximate crowd counting
Cognitive Robotics, 2022 Due to the numerous real-world applications of the crowd counting job, it has become a popular research topic. Modern crowd counting systems have a sophisticated structure and employ a filter on a big image size, making them difficult to use.
Arslan Ali, Weihua Ou, Saima Kanwal
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On Crowd Density Estimation for Surveillance
, 2006 The goal of this work is to use computer vision to measure crowd density in outdoor scenes. Crowd density estimation is an important task in crowd monitoring. The assessment is carried out using images of a graduation scene which illustrated variation of
Rahmalan, Hidayah +5 more
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