IEEE Access, 2020 Nowadays, crowd analysis is one of the most important concepts that needs be relied upon, it contributes to decision making and ensuring the safety and security of the crowd.
Reem Alotaibi +5 more
doaj +1 more source
Finite Volume approximations of the Euler system with variable congestion [PDF]
, 2017 We are interested in the numerical simulations of the Euler system with variable congestion encoded by a singular pressure. This model describes for instance the macroscopic motion of a crowd with individual congestion preferences.
Degond, Pierre +3 more
core +4 more sources
Invisible control of self-organizing agents leaving unknown environments [PDF]
, 2016 In this paper we are concerned with multiscale modeling, control, and simulation of self-organizing agents leaving an unknown area under limited visibility, with special emphasis on crowds.
Albi, Giacomo +3 more
core +3 more sources
A high-density crowd state judgment model based on entropy theory.
PLoS ONE, 2021 A high-density crowd state is prone to cause large-scale crowd stampede accidents that seriously threaten the people's security and property. The key to preventing crowd congestion is to accurately predict the location and time of crowd events ...
Guomin Zhao +4 more
doaj +1 more source
Analysis-by-synthesis: Pedestrian tracking with crowd simulation models in a multi-camera video network [PDF]
, 2015 For tracking systems consisting of multiple cameras with overlapping field-of-views, homography-based approaches are widely adopted to significantly reduce occlusions among pedestrians by sharing information among multiple views.
Bhanu, B, Jin, Z
core +1 more source
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
doaj +1 more source
Parameter Estimation of Social Forces in Crowd Dynamics Models via a Probabilistic Method [PDF]
, 2014 Focusing on a specific crowd dynamics situation, including real life experiments and measurements, our paper targets a twofold aim: (1) we present a Bayesian probabilistic method to estimate the value and the uncertainty (in the form of a probability ...
Corbetta, Alessandro +3 more
core +2 more sources
Aquila Optimization with Transfer Learning Based Crowd Density Analysis for Sustainable Smart Cities
Applied Sciences, 2022 Video surveillance in smart cities provides efficient city operations, safer communities, and improved municipal services. Object detection is a computer vision-based technology, which is utilized for detecting instances of semantic objects of a specific
Mesfer Al Duhayyim +7 more
doaj +1 more source
Macroscopic modeling and simulations of room evacuation [PDF]
, 2013 We analyze numerically two macroscopic models of crowd dynamics: the classical Hughes model and the second order model being an extension to pedestrian motion of the Payne-Whitham vehicular traffic model.
Duvigneau, Regis +2 more
core +4 more sources
Real-time crowd density mapping using a novel sensory fusion model of infrared and visual systems [PDF]
, 2013 Crowd dynamic management research has seen significant attention in recent years in research and industry in an attempt to improve safety level and management of large scale events and in large public places such as stadiums, theatres, railway stations ...
A. Al-Habaibeh +26 more
core +1 more source