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
doaj +1 more source
A bio-inspired, motion-based analysis of crowd behavior attributes relevance to motion transparency, velocity gradients, and motion patterns. [PDF]
PLoS ONE, 2012 The analysis of motion crowds is concerned with the detection of potential hazards for individuals of the crowd. Existing methods analyze the statistics of pixel motion to classify non-dangerous or dangerous behavior, to detect outlier motions, or to ...
Florian Raudies, Heiko Neumann
doaj +1 more source
The new crowd of the dispossessed: factory layoffs and the informalization of the urban economy [PDF]
, 2001 This paper contrasts the old "crowd" of the revered urban proletariat from the days of Mao Zedong to the new "crowd" of laid-off workers. It utilizes concepts from the book, CROWDS AND POWER, by Elias Canetti, to characterize the opposed characteristics
Solinger, Dorothy J.
core
LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning
, 2016 We present a novel procedural framework to generate an arbitrary number of labeled crowd videos (LCrowdV). The resulting crowd video datasets are used to design accurate algorithms or training models for crowded scene understanding.
A Chan +26 more
core +1 more source
Lateral vibration of footbridges under crowd-loading: Continuous crowd modeling approach [PDF]
, 2007 International audienceIn this paper, a simple 1D crowd model is proposed, which aim is to properly describe the crowd-flow phenomena occurring when pedestrians walk on a flexible footbridge.
Argoul, Pierre +2 more
core +5 more sources
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Parameter Calibration of a Social Force Model for the Crowd-Induced Vibrations of Footbridges
Frontiers in Built Environment, 2021 A reliable prediction of the human-induced vibrations of footbridges relies on an accurate representation of the pedestrian excitation for different loading scenario. Particularly, the modeling of crowd-induced dynamic loading is a critical issue for the
Elisa Bassoli, Loris Vincenzi
doaj +1 more source
Socially Constrained Structural Learning for Groups Detection in Crowd
, 2015 Modern crowd theories agree that collective behavior is the result of the underlying interactions among small groups of individuals. In this work, we propose a novel algorithm for detecting social groups in crowds by means of a Correlation Clustering ...
Calderara, Simone +2 more
core +1 more source
Using Big Five Personality Model to Detect Cultural Aspects in Crowds [PDF]
, 2019 The use of information technology in the study of human behavior is a subject of great scientific interest. Cultural and personality aspects are factors that influence how people interact with one another in a crowd.
Costa, Angelo Brandelli +4 more
core +2 more sources
Why human connection is the true metric of research success
FEBS Open Bio, EarlyView.Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan +3 more
wiley +1 more source