Results 61 to 70 of about 105,553 (280)

LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning

, 2016
We present a novel procedural framework to generate an arbitrary number of labeled crowd videos (LCrowdV). The resulting crowd video datasets are used to design accurate algorithms or training models for crowded scene understanding.
A Chan, A. Bruderlin, B Solmaz, B Ulicny, B Zhou, D Helbing, F Lamarche, F Zhu, G Antonini, G Le Bon, Hans J. Eysenck, J Barraquand, J James, J van den Berg, J Xu, K Zhang, KK Reddy, L Pervin, Mehdi Moussaïd, R Geraerts, S Ali, S Ali, S Curtis, T Li, X Song, X Wang, Y Tsuduki   +26 more
core   +1 more source

Crowd Abnormal Event Detection Based on Crowd Density

Journal of Physics: Conference Series
Abstract This paper proposes a crowd abnormal event detection algorithm based on the change of crowd density. This method does not use the optical flow of the traditional model, thus the algorithm is fast. The algorithm first estimates the crowd density in the scene, then uses the change of crowd density as the feature representation of ...
Xuelin Liu, Fengchang Fei
openaire   +1 more source

Open Challenges for Crowd Density Estimation [PDF]

International Journal of Advanced Computer Science and Applications, 2020
Nowadays, many emergency systems and surveillance systems are related to the management of the crowd. The supervision of a crowded area presents a great challenge especially when the size of the crowd is unknown. This issue presents a point of start to the field of the estimation of the crowd based on density or counts. The density of a crowded area is
openaire   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +10 more
wiley   +1 more source

Exploring the Consequences of Crowd Compression Through Physics-Based Simulation

Sensors, 2018
Statistical analysis of accidents in recent years shows that crowd crushes have become significant non-combat, non-environmental public disasters. Unlike common accidents such as fires, crowd crushes may occur without obvious external causes, and may ...
Libo Sun, Norman I. Badler
doaj   +1 more source

An Information Perception-Based Emotion Contagion Model for Fire Evacuation [PDF]

In fires, people are easier to lose their mind. Panic will lead to irrational behavior and irreparable tragedy. It has great practical significance to make contingency plans for crowd evacuation in fires.
Chen, Tian, Liu, Ting Ting, Liu, Zhen, Lu, Tao, Ma, Minhua, Xuan, Rongrong, Yu, Lipeng   +6 more
core   +1 more source

Density aware anomaly detection in crowded scenes

IET Computer Vision, 2016
Coherent nature of crowd movement allows representing the crowd motion using sparse features. However, surveillance videos recorded at different periods of time are likely to have different crowd densities and motion characteristics. These varying scene properties necessitate use of different models for an effective representation of behaviour at ...
Gunduz, Ayse Elvan, Ongun, Cihan, Temizel, Tugba Taskaya, Temizel, Alptekin   +3 more
openaire   +3 more sources

Crowd Density Estimation using Imperfect Labels

2023 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, Menouar, Hamid, Hamila, Ridha   +2 more
openaire   +3 more sources

Influenza Vaccination Responses in Disabled Stroke Patients: A Single‐Center Prospective Observational Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aimed to investigate the immunological response to influenza vaccination, the incidence and severity of influenza infection, and the side effects of the vaccination in patients with ischemic stroke. Methods This prospective observational study was conducted between 2023 and 2024 at Ramathibodi Hospital.
Achiraya Pakngao, Sureerat Suwatcharangoon, Pintip Ngamjanyapron, Kobporn Boonnak, Thanitta Suangtamai, Porpon Rotjanapan   +5 more
wiley   +1 more source

PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting

, 2020
Crowd counting, i.e., estimating the number of people in a crowded area, has attracted much interest in the research community. Although many attempts have been reported, crowd counting remains an open real-world problem due to the vast scale variations ...
Amirgholipour, Saeed, He, Xiangjian, Jia, Wenjing, Liu, Lei, Wang, Dadong   +4 more
core