Results 21 to 30 of about 13,616 (168)
What's in a crowd? Analysis of face-to-face behavioral networks [PDF]
Journal of Theoretical Biology, 2011 The availability of new data sources on human mobility is opening new avenues for investigating the interplay of social networks, human mobility and dynamical processes such as epidemic spreading. Here we analyze data on the time-resolved face-to-face proximity of individuals in large-scale real-world scenarios.
Isella L +5 more
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Prediction Method of Abnormal Crowd AggregationBased on Group Behavior Analysis [PDF]
Jisuanji gongcheng, 2020 With the popularization of intelligent communication devices and the improvement of positioning accuracy of communication base stations,it becomes feasible to monitor and predict crowd density using the behavior data of users recorded by communication ...
HUANG Hehe, ZENG Yuanyuan, ZHANG Yi, NAI He
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An Analysis Method of Crowd Abnormal Behavior for Video Service Robot
IEEE Access, 2019 Abnormal behavior analysis in crowded scenes is a challenging task in the computer vision field. Determining how to quickly and accurately locate abnormal behavior in a crowd, especially in airports, shopping malls, stations, and other practical ...
Shuqiang Guo +4 more
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Survey of Research on Crowd Congestion Detection in Dense Scenarios [PDF]
Jisuanji gongchengPerceiving and detecting crowd congestion in public spaces is an extremely challenging task in computer vision. Research on this issue, such as analyzing the motion characteristics of crowds and constructing behavior detection models, can provide ...
XU Min, HU Bin
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Behavior Analysis-Based IoT Services For Crowd Management
The Computer Journal, 2022 Abstract With the world population growing exponentially reaching 7.8 billion people in 2020, the issue of crowd management has become more difficult especially when the situation requires social distancing (e.g. due to COVID-19). The Internet of Things (IoT) technology can help in tackling such issues.
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Direction, Velocity, Merging Probabilities and Shape Descriptors for Crowd Behavior Analysis
IEEE Access, 2019 Descriptors are important for quantifying crowd behavior. The existing descriptors generally provide information about crowd density, i.e., number of people/objects present in a defined spatial area.
Rakhshenda Javid +3 more
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IEEE Access, 2019 A crowd behavior identification method is proposed by combining the streakline based on fluid mechanics with a high-accurate variational optical flow model in this paper.
Xiaofei Wang +5 more
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Crowd Motion Analysis Based on Social Force Graph with Streak Flow Attribute
Journal of Electrical and Computer Engineering, 2015 Over the past decades, crowd management has attracted a great deal of attention in the area of video surveillance. Among various tasks of video surveillance analysis, crowd motion analysis is the basis of numerous subsequent applications of surveillance ...
Shaonian Huang +2 more
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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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IEEE AccessCrowd analysis is a critical research field in computer vision that focuses on understanding and predicting crowd behaviors with applications extending to public safety, urban planning, and event management. However, the scarcity of large-scale, diverse,
Stefanos Pasios +5 more
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