Results 1 to 10 of about 40,421 (274)

Airborne Crowd Density Estimation [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013
This paper proposes a new method for estimating human crowd densities from aerial imagery. Applications benefiting from an accurate crowd monitoring system are mainly found in the security sector. Normally crowd density estimation is done through in-situ
O. Meynberg, G. Kuschk
doaj   +5 more sources

Crowd Density Estimation via Global Crowd Collectiveness Metric

open access: yesDrones
Drone-captured crowd videos have become increasingly prevalent in various applications in recent years, including crowd density estimation via measuring crowd collectiveness.
Ling Mei   +3 more
doaj   +2 more sources

Crowd Density Estimation for Crowd Management at Event Entrance [PDF]

open access: yesUniversity of the Future: Re-Imagining Research and Higher Education, 2020
Crowd management is an essential task to ensure the safety and smoothness of any events. Using the novel technologies including surveillance cameras, communication technics between security agents, the control of the crowd has become easier. However, the sue of these technics is still not perfectly effective.
Elharrouss, Omar   +2 more
openaire   +2 more sources

Single Convolutional Neural Network With Three Layers Model for Crowd Density Estimation

open access: yesIEEE Access, 2022
Crowd density estimation is an important topic in computer vision due to its widespread applications in surveillance, urban planning, and intelligence gathering.
Adal Alashban   +3 more
doaj   +1 more source

Crowd Density Estimation Based On Multi-scale Information Fusion And Matching Network In Scenic Spots

open access: yesJournal of Applied Science and Engineering, 2022
The crowd density estimation has important application value in intelligent safety prevention, traffic safety and tourist attractions safety prevention, etc.
XiaojunWang
doaj   +1 more source

Crowd Density Estimation and Mapping Method Based on Surveillance Video and GIS

open access: yesISPRS International Journal of Geo-Information, 2023
Aiming at the problem that the existing crowd counting methods cannot achieve accurate crowd counting and map visualization in a large scene, a crowd density estimation and mapping method based on surveillance video and GIS (CDEM-M) is proposed. Firstly,
Xingguo Zhang   +4 more
doaj   +1 more source

Congested Crowd Counting via Adaptive Multi-Scale Context Learning

open access: yesSensors, 2021
In this paper, we propose a novel congested crowd counting network for crowd density estimation, i.e., the Adaptive Multi-scale Context Aggregation Network (MSCANet).
Yani Zhang   +5 more
doaj   +1 more source

On crowd density estimation for surveillance [PDF]

open access: yesIET Conference on Crime and Security, 2006
The goal of this work is to use computer vision to measure crowd density in outdoor scenes. Crowd density estimation is an important task in crowd monitoring. The assessment is carried out using images of a graduation scene which illustrated variation of illumination due to textured brick surface, clothing and changes of weather.
Rahmalan, Hidayah   +2 more
openaire   +2 more sources

Estimating Interpersonal Distance and Crowd Density with a Single-Edge Camera

open access: yesComputers, 2021
For public safety and physical security, currently more than a billion closed-circuit television (CCTV) cameras are in use around the world. Proliferation of artificial intelligence (AI) and machine/deep learning (M/DL) technologies have gained ...
Alem Fitwi   +3 more
doaj   +1 more source

Crowd Density Estimation using Imperfect Labels

open access: yes2023 IEEE International Conference on Consumer Electronics (ICCE), 2023
Density estimation is one of the most widely used methods for crowd counting in which a deep learning model learns from head-annotated crowd images to estimate crowd density in unseen images. Typically, the learning performance of the model is highly impacted by the accuracy of the annotations and inaccurate annotations may lead to localization and ...
Khan, Muhammad Asif   +2 more
openaire   +3 more sources

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