Crowds are likely to stay or move in a specific area and time . Due to mobility in crowds, crowd counting is often a difficult task . Here a physical model based on the logistic model is suggested to explain how crowd mobility affects crowd size . This model sheds light on a collective contribution of crowd mobility and growth rate in crowd counting. This model offers a framework to understand static and mobile crowd dynamics .
Counting how many particles pass through a specific space within a specific time is an interesting question in applied physics and social science . Here a logistic model is developed to estimate the total number of flowing particles . This model sheds light on a collective contribution of particle growth rate and transient probability within a specific space in particle counting. This model may offer a basic concept to understand transport dynamics of flowing particles .
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Crowds are likely to stay or move in a specific area and time . Due to mobility in crowds, crowd counting is often a difficult task
Counting how many particles pass through a specific space within a specific time is an interesting question in applied physics and social science
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physical model based on the
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suggested to explain how crowd mobility affects crowd size
developed to estimate the total number of flowing particles
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crowd mobility and growth rate in crowd
particle growth rate and transient probability within a specific space in particle
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offers a framework to understand static and mobile crowd dynamics
may offer a basic concept to understand transport dynamics of flowing particles