Crowd Density Estimation via Global Crowd Collectiveness Metric
DronesDrone-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
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A deep crowd density classification model for Hajj pilgrimage using fully convolutional neural network [PDF]
PeerJ 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
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Deep Dilated Convolutional Neural Network for Crowd Density Image Classification with Dataset Augmentation for Hajj Pilgrimage [PDF]
Sensors, 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
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Crowd Density Estimation and Mapping Method Based on Surveillance Video and GIS
ISPRS 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
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Cloud of Things in Crowd Engineering: A Tile-Map-Based Method for Intelligent Monitoring of Outdoor Crowd Density [PDF]
Sensors, 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
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Airborne Crowd Density Estimation [PDF]
ISPRS 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
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PaDNet: Pan-Density Crowd Counting [PDF]
IEEE 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.
Yiming Lei, Yukun Tian, Junping Zhang
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Information Entropy-Guided Multi-Scale Feature Fusion for Crowd Density Estimation [PDF]
EntropyThe spatial heterogeneity of crowd distributions poses significant challenges for density estimation. Dense regions exhibit high local information entropy due to severe occlusion and feature ambiguity, while sparse regions and backgrounds carry ...
Zixun Liu, Tianle Yang, Yongjie Wang
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Experiment Calibrated Simulation Modeling of Crowding Forces in High Density Crowd [PDF]
IEEE Access, 2019 Crowding force is an important index in evaluating the safety of those within high density crowds. However, studies on high density crowd simulation models have not been sufficiently developed, and related experimental studies are not sufficiently ...
Jingni Song +5 more
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Acceleration-critical density time-delay model for crowd stability analysis based on Lyapunov theory [PDF]
MATEC 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
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