Results 31 to 40 of about 4,521,340 (293)
IEEE Access, 2019 This paper proposes an automatic scale-adaptive approach with attention mechanism-based crowd spatial information addressing the crowd counting task, i.e. a novel cascaded crowd counting network.
Weihang Kong +3 more
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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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DMPNet: densely connected multi-scale pyramid networks for crowd counting [PDF]
PeerJ Computer Science, 2022 Crowd counting has been widely studied by deep learning in recent years. However, due to scale variation caused by perspective distortion, crowd counting is still a challenging task.
Pengfei Li +3 more
doaj +2 more sources
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
openaire +2 more sources
Coordinated crowd simulation with topological scene analysis [PDF]
, 2016 This paper proposes a new algorithm to produce globally coordinated crowds in an environment with multiple paths and obstacles. Simple greedy crowd control methods easily lead to congestion at bottlenecks within scenes, as the characters do not cooperate
Taku Komura +6 more
core +1 more source
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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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 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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