Results 11 to 20 of about 2,578,119 (290)
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 illumination due to textured brick surface, clothing and changes of weather.
Rahmalan, Hidayah +2 more
core +5 more sources
CrowdMAC: Masked Crowd Density Completion for Robust Crowd Density Forecasting
2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)A crowd density forecasting task aims to predict how the crowd density map will change in the future from observed past crowd density maps. However, the past crowd density maps are often incomplete due to the miss-detection of pedestrians, and it is crucial to develop a robust crowd density forecasting model against the miss-detection.
Ryo Fujii +2 more
core +6 more sources
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
Journal 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
Congested Crowd Counting via Adaptive Multi-Scale Context Learning
Sensors, 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
A Multi-scale Crowd Counting Algorithm with Removing Background Interference [PDF]
Jisuanji gongcheng, 2022 Crowd counting technology is aimed at estimating the number of people in crowd pictures or videos.The technology can effectively be applied to prevent stampede accidents and is widely used in security and early warning, urban planning, and management of ...
GUO Aixin, XIA Yinfeng, WANG Dawei, LU Bin
doaj +1 more source
Congestion-Aware Bayesian Loss for Crowd Counting
IEEE Access, 2022 Deep learning-based crowd density estimation can greatly improve the accuracy of crowd counting. Though a Bayesian loss method resolves the two problems of the need of a hand-crafted ground truth (GT) density and noisy annotations, counting accurately in
Jiyeoup Jeong +3 more
doaj +1 more source
A Data-Driven Urban Metro Management Approach for Crowd Density Control
Journal of Advanced Transportation, 2021 Large crowding events in big cities pose great challenges to local governments since crowd disasters may occur when crowd density exceeds the safety threshold.
Hui Zhou +4 more
doaj +1 more source
Scene Adaptive Segmentation for Crowd Counting in Population Heterogeneous Distribution
Applied Sciences, 2022 Crowd counting is an important part of crowd analysis and has been widely applied in the field of public safety and commercial management. Although researchers have proposed many crowd counting methods, there is little research on non-uniform population ...
Hui Gao +3 more
doaj +1 more source
An Approach for Crowd Density and Crowd Size Estimation
Journal of Software, 2014 Crowd density estimation is very important in intelligent crowd monitoring. In this paper, a new approach of crowed density estimation is proposed. This method combines the advantage of pixel statistical feature and texture analysis, and reduces the impact of perspective distortion by dividing the region of interest.
Ming Jiang 0009 +4 more
openaire +2 more sources