Results 11 to 20 of about 4,521,340 (293)
An implementation architecture for crowd network simulations
International Journal of Crowd Science, 2020 PurposeCrowd network systems have been deemed as a promising mode of modern service industry and future economic society, and taking crowd network as the research object and exploring its operation mechanism and laws is of great significance for ...
Jialin Zou, Kun Wang, Hongbo Sun
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Flash Crowd Detection within the realms of an Internet Service Provider (ISP) [PDF]
, 2008 It is truly a challenge to detect a network phenomenon with an unpredictable persona. Due to the simultaneous dependency on network traffic and end users, events such as Flash Crowds are hard to predict.
Hutchison, D. +4 more
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Crowd counting with crowd attention convolutional neural network
Neurocomputing, 2020 Accepted by ...
Wen Su, Jiwei Chen, Zengfu Wang
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Improved Crowd Counting Method Based on Scale-Adaptive Convolutional Neural Network
IEEE Access, 2019 Crowd counting is a challenging task due to the influence of various factors, such as scene transformation, complex crowd distribution, uneven illumination, and occlusion.
Jun Sang +6 more
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Meta measurement of intelligence with crowd network
International Journal of Crowd Science, 2020 PurposeThe multiple factors of intelligence measurement are critical in intelligent science. The intelligence measurement is typically built as a model based on multiple factors.
Zheming Yang, Wen Ji
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Dense Scale Network for Crowd Counting [PDF]
Proceedings of the 2021 International Conference on Multimedia Retrieval, 2021 Crowd counting has been widely studied by computer vision community in recent years. Due to the large scale variation, it remains to be a challenging task. Previous methods adopt either multi-column CNN or single-column CNN with multiple branches to deal with this problem. However, restricted by the number of columns or branches, these methods can only
Feng Dai +4 more
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Scene Adaptive Segmentation for Crowd Counting in Population Heterogeneous Distribution
Applied Sciences, 2022 Crowd counting is an important part of crowd analysis and has been widely applied in the field of public safety and commercial management. Although researchers have proposed many crowd counting methods, there is little research on non-uniform population ...
Hui Gao +3 more
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A Multi-scale Crowd Counting Algorithm with Removing Background Interference [PDF]
Jisuanji gongcheng, 2022 Crowd counting technology is aimed at estimating the number of people in crowd pictures or videos.The technology can effectively be applied to prevent stampede accidents and is widely used in security and early warning, urban planning, and management of ...
GUO Aixin, XIA Yinfeng, WANG Dawei, LU Bin
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Mask-Aware Networks for Crowd Counting [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2020 Crowd counting problem aims to count the number of objects within an image or a frame in the videos and is usually solved by estimating the density map generated from the object location annotations. The values in the density map, by nature, take two possible states: zero indicating no object around, a non-zero value indicating the existence of objects
Shengqin Jiang +3 more
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Intelligence level analysis for crowd networks based on business entropy [PDF]
International Journal of Crowd Science, 2019 Purpose – Intelligence level of a crowd network is defined as the expected reward of the network when completing the latest tasks (e.g. last N tasks).
Zhouxia Li +4 more
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