Results 31 to 40 of about 645,498 (280)
On Crowd Density Estimation for Surveillance
, 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
core +2 more sources
Sensors, 2022 Managing citizen and community safety is one of the most essential services that future cities will require. Crowd analysis and monitoring are also a high priority in the current COVID-19 pandemic scenario, especially because large-scale gatherings can ...
Abdullah Alamri
doaj +1 more source
Large-scale Localization Datasets in Crowded Indoor Spaces [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Estimating the precise location of a camera using visual localization enables interesting applications such as augmented reality or robot navigation. This is particularly useful in indoor environments where other localization technologies, such as GNSS, fail.
Donghwan Lee +10 more
openaire +3 more sources
Deep social force network for anomaly event detection
IET Image Processing, 2021 Anomaly event detection is vital in surveillance video analysis. However, how to learn the discriminative motion in the crowd scene is still not tackled.
Xingming Yang +4 more
doaj +1 more source
Texture-based Homogeneity Analysis for Crowd Scene Modelling and Abnormality Detection [PDF]
Video-based crowd behaviour analysis techniques aim at tackling challenging problems such as detecting abnormal crowd behaviours and tracking specific individuals from complex real life scenes.
Xu, Zhijie, Wang, Jing
core +3 more sources
RFID-BASED USERS’ LOCALIZATION IN THE CROWDED AREAS
Iraqi Journal of Information & Communication Technology, 2021 Managing crowded areas is an extremely and difficult task. Several people might be injured or lost their lives every year because of mal organization of the crowded areas.
Noor E. Baqir, Mohammed I. Al-Nouman
doaj +1 more source
Localization in Unprecedentedly Crowded Airspace for UAVs and SUAVs
IEEE Access, 2022 The unprecedented proliferation of Unmanned Aerial Vehicles (UAVs), and Swarm Unmanned Aerial Vehicles (SUAVs) have garnered considerable attention from industry and academia owing to their extensive landscape of applications from disaster relief towards smart agriculture.
Manel Khelifi, Ismail Butun
openaire +3 more sources
A configurable agent-based crowd model with generic behaviour effect representation mechanism [PDF]
, 2014 Most of the existing crowd models were designed for specific behaviors or scenarios (e.g., emergency evacuations and bi-directional crowd flows). Significant modifications were often required to accommodate new behaviors or new scenarios.
Sun, Q, Wu, Song, Sun, Quanbin, Wu, S
core +1 more source
Detecting high indoor crowd density with Wi-Fi localization: a statistical mechanics approach
Journal of Big Data, 2019 We address the problem of detecting highly raised crowd density in situations such as indoor dance events. We propose a new method for estimating crowd density by anonymous, non-participatory, indoor Wi-Fi localization of smart phones.
Sonja Georgievska +7 more
doaj +1 more source
IEEE Access, 2021 A high-definition (HD) map is becoming an integral component of future mobility systems such as autonomous and connected vehicles. Advances in computing systems, LiDAR technologies, and vehicle communication technologies have enabled the HD map to ...
Chansoo Kim +5 more
doaj +1 more source