Results 41 to 50 of about 4,521,340 (293)
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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A Deep-Fusion Network for Crowd Counting in High-Density Crowded Scenes [PDF]
International Journal of Computational Intelligence Systems, 2021 AbstractPeople counting has been investigated extensively as a tool to increase the individual’s safety and to avoid crowd hazards at public places. It is a challenging task especially in high-density environment such as Hajj and Umrah, where millions of people gathered in a constrained environment to perform rituals. This is due to large variations of
Sultan Daud Khan +3 more
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A novel simulation framework for crowd co-evolutions
International Journal of Crowd Science, 2020 PurposeEvolution can be easily observed in nature world, and this phenomenon is a research hotspot no matter in natural science or social science. In crowd science and technology, evolutionary phenomenon exists also among many agents in crowd network ...
Kun Wang, Hongbo Sun
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A Data-Driven Urban Metro Management Approach for Crowd Density Control
Journal of Advanced Transportation, 2021 Large crowding events in big cities pose great challenges to local governments since crowd disasters may occur when crowd density exceeds the safety threshold.
Hui Zhou +4 more
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Crowd Counting Guided by Attention Network [PDF]
Information, 2020 Crowd Crowd counting is not simply a matter of counting the numbers of people, but also requires that one obtains people’s spatial distribution in a picture. It is still a challenging task for crowded scenes, occlusion, and scale variation. This paper proposes a global and local attention network (GLANet) for efficient crowd counting, which applies an ...
Pei Nie +4 more
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Crowd counting using a self‐attention multi‐scale cascaded network
IET Computer Vision, 2019 Recent developments of crowd analysis and behaviour prediction have attracted much attention. Crowd counting, as the essential and challenging task in crowd analysis, is riddled with many issues, such as large scale variations, serious occlusion, and so ...
He Li, Shihui Zhang, Weihang Kong
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Detection of Salient Crowd Motion Based on Repulsive Force Network and Direction Entropy
Entropy, 2019 This paper proposes a method for salient crowd motion detection based on direction entropy and a repulsive force network. This work focuses on how to effectively detect salient regions in crowd movement through calculating the crowd vector field and ...
Xuguang Zhang +5 more
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Redesigned Skip-Network for Crowd Counting with Dilated Convolution and Backward Connection
Journal of Imaging, 2020 Crowd counting is a challenging task dealing with the variation of an object scale and a crowd density. Existing works have emphasized on skip connections by integrating shallower layers with deeper layers, where each layer extracts features in a ...
Sorn Sooksatra +3 more
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Analysis of supply chain’s resilience in crowd networks [PDF]
International Journal of Crowd Science, 2021 Purpose The purpose of this paper is to analyze the supply chain's resilience in crowd networks from both static and dynamic perspectives. Design/methodology/approach This paper first defines the supply chain’s resilience, then proposes a graphical and game-theoretic framework to evaluate the resilience.
Shihan Meng +3 more
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An urban crowd flow model integrating geographic characteristics
Scientific Reports, 2023 Predicting urban crowd flow spatial distributions plays a critical role in optimizing urban public safety and traffic congestion management. The spatial dependency between regions and the temporal dynamics of the local crowd flow are two important ...
Yu Zhang +4 more
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