Results 21 to 30 of about 318,999 (276)
Crowd intelligence evolution based on complex network
International Journal of Crowd Science, 2021 PurposeIn recent years, with the increase in computing power, artificial intelligence can gradually be regarded as intelligent agents and interact with humans, this interactive network has become increasingly complex.
Jianran Liu, Wen Ji
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CoRR, 2019 In this paper, we tackle the problem of Crowd Counting, and present a crowd density estimation based approach for obtaining the crowd count. Most of the existing crowd counting approaches rely on local features for estimating the crowd density map. In this work, we investigate the usefulness of combining local with non-local features for crowd counting.
Viresh Ranjan +2 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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Projecting real world into CrowdIntell network: a methodology [PDF]
International Journal of Crowd Science, 2019 Purpose – The purpose of this paper is to build cyber-physical-psychological ternary fusion crowd intelligence network and realize comprehensive, real, correct and synchronous projection in cyber–physical–psychological ternary fusion system.
Shipeng Wang +4 more
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Congested Crowd Counting via Adaptive Multi-Scale Context Learning
Sensors, 2021 In this paper, we propose a novel congested crowd counting network for crowd density estimation, i.e., the Adaptive Multi-scale Context Aggregation Network (MSCANet).
Yani Zhang +5 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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An evolution simulation framework for ecological structure of crowd networks
International Journal of Crowd Science, 2020 PurposeThis paper aims to obtain optimal specialization mode and level for complex network or system structures. In the e-commerce system, this paper studies the changes of each transaction subject in the process of ecological structure based on the ...
Jiwu Wang, Hongbo Sun
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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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Crowd Counting Algorithm Based on Scale Adaptive Convolutional Neural Network [PDF]
Jisuanji gongcheng, 2020 In order to solve the problem of crowd occlusion and scale change in a single image,this paper proposes a crowd counting algorithm based on multi-column convolution neural network.The algorithm uses Convolutional Neural Network(CNN) with receptive fields
ZHAI Qiang, WANG Luyang, YIN Baoqun, PENG Sifan, XING Sisi
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International Journal of Crowd Science, 2020 PurposeThe era of crowd network is coming and the research of its steady-state is of great importance. This paper aims to establish a crowd network simulation platform and maintaining the relative stability of multi-source dissemination systems.Design ...
Zhong Wang, Hongbo Sun, Baode Fan
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