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A deep crowd density classification model for Hajj pilgrimage using fully convolutional neural network [PDF]

open access: yesPeerJ Computer Science, 2022
This research enhances crowd analysis by focusing on excessive crowd analysis and crowd density predictions for Hajj and Umrah pilgrimages. Crowd analysis usually analyzes the number of objects within an image or a frame in the videos and is regularly ...
Md Roman Bhuiyan   +8 more
doaj   +3 more sources

Airborne Crowd Density Estimation [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013
This paper proposes a new method for estimating human crowd densities from aerial imagery. Applications benefiting from an accurate crowd monitoring system are mainly found in the security sector. Normally crowd density estimation is done through in-situ
O. Meynberg, G. Kuschk
doaj   +5 more sources

Deep Dilated Convolutional Neural Network for Crowd Density Image Classification with Dataset Augmentation for Hajj Pilgrimage [PDF]

open access: yesSensors, 2022
Almost two million Muslim pilgrims from all around the globe visit Mecca each year to conduct Hajj. Each year, the number of pilgrims grows, creating worries about how to handle such large crowds and avoid unpleasant accidents or crowd congestion ...
Roman Bhuiyan   +6 more
doaj   +2 more sources

PaDNet: Pan-Density Crowd Counting [PDF]

open access: yesIEEE Transactions on Image Processing, 2020
The problem of counting crowds in varying density scenes or in different density regions of the same scene, named as pan-density crowd counting, is highly challenging. Previous methods are designed for single density scenes or do not fully utilize pan-density information.
Yukun Tian, Junping Zhang, James Z Wang
exaly   +4 more sources

Crowd Density Estimation and Mapping Method Based on Surveillance Video and GIS

open access: yesISPRS International Journal of Geo-Information, 2023
Aiming at the problem that the existing crowd counting methods cannot achieve accurate crowd counting and map visualization in a large scene, a crowd density estimation and mapping method based on surveillance video and GIS (CDEM-M) is proposed. Firstly,
Xingguo Zhang   +4 more
doaj   +3 more sources

Cloud of Things in Crowd Engineering: A Tile-Map-Based Method for Intelligent Monitoring of Outdoor Crowd Density [PDF]

open access: yesSensors, 2022
Managing citizen and community safety is one of the most essential services that future cities will require. Crowd analysis and monitoring are also a high priority in the current COVID-19 pandemic scenario, especially because large-scale gatherings can ...
Abdullah Alamri
doaj   +2 more sources

Crowd Density Estimation via Global Crowd Collectiveness Metric

open access: yesDrones
Drone-captured crowd videos have become increasingly prevalent in various applications in recent years, including crowd density estimation via measuring crowd collectiveness.
Ling Mei   +3 more
doaj   +2 more sources

Acceleration-critical density time-delay model for crowd stability analysis based on Lyapunov theory [PDF]

open access: yesMATEC Web of Conferences, 2022
Crowd stability analysis is one of research hotspots to alleviate the severe situation of stampede accidents worldwide. Different from the conventional analysis models for crowd stability based on pedestrian density, this study analyses the ...
Zhao Rongyong   +5 more
doaj   +1 more source

Crowd Density Estimation for Crowd Management at Event Entrance [PDF]

open access: yesUniversity of the Future: Re-Imagining Research and Higher Education, 2020
Crowd management is an essential task to ensure the safety and smoothness of any events. Using the novel technologies including surveillance cameras, communication technics between security agents, the control of the crowd has become easier. However, the sue of these technics is still not perfectly effective.
Elharrouss, Omar   +2 more
openaire   +2 more sources

Crowd Density Estimation Based On Multi-scale Information Fusion And Matching Network In Scenic Spots

open access: yesJournal of Applied Science and Engineering, 2022
The crowd density estimation has important application value in intelligent safety prevention, traffic safety and tourist attractions safety prevention, etc.
XiaojunWang
doaj   +1 more source

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