Direction, Velocity, Merging Probabilities and Shape Descriptors for Crowd Behavior Analysis

Direction, Velocity, Merging Probabilities and Shape Descriptors for Crowd Behavior Analysis

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. However, other properties of crowd like speed, direction, shape, and merging probabilities (of diffe...

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Main Authors: Rakhshenda Javid, M. Mohsin Riaz, Abdul Ghafoor, Naveed Iqbal Rao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Descriptors
crowd behavior analysis
outliers
Online Access:https://ieeexplore.ieee.org/document/8764325/
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spelling doaj-790c5018dc4c4ed091fb1b35dc988c262021-04-05T17:14:05ZengIEEEIEEE Access2169-35362019-01-01710256110256810.1109/ACCESS.2019.29292428764325Direction, Velocity, Merging Probabilities and Shape Descriptors for Crowd Behavior AnalysisRakhshenda Javid0https://orcid.org/0000-0002-9058-1798M. Mohsin Riaz1Abdul Ghafoor2Naveed Iqbal Rao3Military College of Signals, National University of Sciences and Technology (NUST), Rawalpindi, PakistanThe Center for Advanced Studies in Telecommunication (CAST), COMSATS University, Islamabad, PakistanMilitary College of Signals, National University of Sciences and Technology (NUST), Rawalpindi, PakistanMilitary College of Signals, National University of Sciences and Technology (NUST), Rawalpindi, PakistanDescriptors 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. However, other properties of crowd like speed, direction, shape, and merging probabilities (of different crowds at group level) are also important for crowd analysis. In this paper, crowd descriptors (by mitigating the effects of outliers) are introduced which can be used for crowds having various densities. The simulations on various datasets show the applicability of the proposed descriptors.https://ieeexplore.ieee.org/document/8764325/Descriptorscrowd behavior analysisoutliers
collection DOAJ
language English
format Article
sources DOAJ
author Rakhshenda Javid
M. Mohsin Riaz
Abdul Ghafoor
Naveed Iqbal Rao
spellingShingle Rakhshenda Javid
M. Mohsin Riaz
Abdul Ghafoor
Naveed Iqbal Rao
Direction, Velocity, Merging Probabilities and Shape Descriptors for Crowd Behavior Analysis
IEEE Access
Descriptors
crowd behavior analysis
outliers
author_facet Rakhshenda Javid
M. Mohsin Riaz
Abdul Ghafoor
Naveed Iqbal Rao
author_sort Rakhshenda Javid
title Direction, Velocity, Merging Probabilities and Shape Descriptors for Crowd Behavior Analysis
title_short Direction, Velocity, Merging Probabilities and Shape Descriptors for Crowd Behavior Analysis
title_full Direction, Velocity, Merging Probabilities and Shape Descriptors for Crowd Behavior Analysis
title_fullStr Direction, Velocity, Merging Probabilities and Shape Descriptors for Crowd Behavior Analysis
title_full_unstemmed Direction, Velocity, Merging Probabilities and Shape Descriptors for Crowd Behavior Analysis
title_sort direction, velocity, merging probabilities and shape descriptors for crowd behavior analysis
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description 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. However, other properties of crowd like speed, direction, shape, and merging probabilities (of different crowds at group level) are also important for crowd analysis. In this paper, crowd descriptors (by mitigating the effects of outliers) are introduced which can be used for crowds having various densities. The simulations on various datasets show the applicability of the proposed descriptors.
topic Descriptors
crowd behavior analysis
outliers
url https://ieeexplore.ieee.org/document/8764325/
work_keys_str_mv AT rakhshendajavid directionvelocitymergingprobabilitiesandshapedescriptorsforcrowdbehavioranalysis
AT mmohsinriaz directionvelocitymergingprobabilitiesandshapedescriptorsforcrowdbehavioranalysis
AT abdulghafoor directionvelocitymergingprobabilitiesandshapedescriptorsforcrowdbehavioranalysis
AT naveediqbalrao directionvelocitymergingprobabilitiesandshapedescriptorsforcrowdbehavioranalysis
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