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FSC-Set: Counting, Localization of Football Supporters Crowd in the Stadiums
IEEE Access, 2022 Counting the number of people in a crowd has gained attention in the last decade. Due to its benefit to many applications such as crowd behavior analysis, crowd management, and video surveillance systems, etc.
Omar Elharrouss +5 more
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Enhanced indoor localization through crowd sensing [PDF]
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 In localization tasks, one typically assumes a statistical model of the observations, where the model quantifies the observations by exploiting interrelationships based on geometry. These models might incorporate unknown parameters that, in general, are functions of space.
Arias-De-Reyna, Eva +3 more
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Spatial variability in localization biases predicts crowding performance
Journal of Vision, 2023 Visual processing varies substantially across individuals, and prior work has shown significant individual differences in fundamental processes such as spatial localization. For example, when asked to report the location of a briefly flashed target in the periphery, different observers systematically misperceive its location in an idiosyncratic manner,
Haseeb, Zainab +2 more
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Comptes Rendus. Mathématique, 2011 We present a new class of macroscopic models for pedestrian flows. Each individual is assumed to move toward a fixed target, deviating from the best path according to the crowd distribution. The resulting equation is a conservation law with a non-local flux.
COLOMBO, Rinaldo Mario +2 more
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IEEE Access, 2021 Crowd-sourcing has become a promising way to build a feature-based indoor positioning system that has lower labour and time costs. It can make full use of the widely deployed infrastructure as well as built-in sensors on mobile devices.
Caifa Zhou +3 more
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SSRN Electronic Journal, 2019 ABSTRACTIn China, between 2006 and 2013, local public debt crowded out the investment of private firms by tightening their funding constraints while leaving state‐owned firms' investment unaffected. We establish this result using a purpose‐built data set for Chinese local public debt.
Yi Huang, Marco Pagano, Ugo Panizza
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A Survey of Robot Swarms’ Relative Localization Method
Sensors, 2022 For robot swarm applications, accurate positioning is one of the most important requirements for avoiding collisions and keeping formations and cooperation between individuals.
Siyuan Chen, Dong Yin, Yifeng Niu
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Sensors, 2022 Managing citizen and community safety is one of the most essential services that future cities will require. Crowd analysis and monitoring are also a high priority in the current COVID-19 pandemic scenario, especially because large-scale gatherings can ...
Abdullah Alamri
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Crowding in or crowding out? How local government debt influences corporate innovation for China
PLOS ONE, 2021 The pressure upon local governments to redeem their debt could affect government fiscal ability. It could consequently affect their fiscal policies on corporations, which might distort corporate innovation. Based on the data of Chinese Shanghai and Shenzhen A-share listed companies and the local government implicit short-term debt financed by local ...
Junbing Xu +4 more
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Deep social force network for anomaly event detection
IET Image Processing, 2021 Anomaly event detection is vital in surveillance video analysis. However, how to learn the discriminative motion in the crowd scene is still not tackled.
Xingming Yang +4 more
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