Results 11 to 20 of about 4,036,534 (282)
Crowd Density Estimation via Global Crowd Collectiveness Metric
DronesDrone-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
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On Crowd Density Estimation for Surveillance [PDF]
IET 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
Rahmalan, Hidayah +5 more
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Granular-based dense crowd density estimation
Multimedia Tools and Applications, 2018 Dense crowd density estimation is one of the fundamental tasks in crowd analysis. While tremendous progress has been made to understand crowd scenes along with the rise of Convolutional Neural Networks (CNNs), research work on dense crowd density ...
Chan, Chee Seng, Kok, Ven Jyn
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Crowd Density Estimation using Imperfect Labels
2023 IEEE International Conference on Consumer Electronics (ICCE), 2023 Density estimation is one of the most widely used method for crowd counting in which a deep learning model learns from head annotated crowd images to estimate crowd density in unseen images.
Menouar, Hamid +2 more
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Density estimation in crowd videos
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014 In crowd surveillance systems, it is important to select the proper analysis algorithm considering the properties of the video content. The inappropriate algorithm selection may result in performance degradation and generation of false alarms.
Taşkaya Temizel, Tuğba +5 more
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Mask Guided GAN for Density Estimation and Crowd Counting [PDF]
IEEE Access, 2020 Density estimation aims to predict the spatial distribution of a crowd scene, and crowd counting aims to automatically check the number of heads as close as the ground truth.
Hai-Yan Yao, Wang-Gen Wan, Xiang Li
doaj +2 more sources
Real-time crowd density estimation using images
, 2005 This paper presents a technique for real-time crowd density estimation based on textures of crowd images. In this technique, the current image from a sequence of input images is classified into a crowd density class. Then, the classification is corrected
F. L. Drumond +7 more
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Crowd Density Estimation for Crowd Management at Event Entrance [PDF]
University 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
Crowd counting via Multi-Scale Adversarial Convolutional Neural Networks
Journal of Intelligent Systems, 2020 The purpose of crowd counting is to estimate the number of pedestrians in crowd images. Crowd counting or density estimation is an extremely challenging task in computer vision, due to large scale variations and dense scene.
Zhu Liping +4 more
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Advances in Convolution Neural Networks Based Crowd Counting and Density Estimation
Big Data and Cognitive Computing, 2021 Automatically estimating the number of people in unconstrained scenes is a crucial yet challenging task in different real-world applications, including video surveillance, public safety, urban planning, and traffic monitoring.
Rafik Gouiaa +2 more
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