An indoor crowd movement trajectory benchmark dataset

Y Zhao, X Zhao, S Chen, Z Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In recent years, technologies of indoor crowd positioning and movement data analysis have
received widespread attention in the fields of reliability management, indoor navigation, and …

Crowd behavior analysis via curl and divergence of motion trajectories

S Wu, H Yang, S Zheng, H Su, Y Fan… - International Journal of …, 2017 - Springer
In the field of crowd behavior analysis, existing methods mainly focus on using local
representations inspired by models found in other disciplines (eg, fluid dynamics and social …

Scalable detection of crowd motion patterns

S Heldens, N Litvak… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Studying the movements of crowds is important for understanding and predicting the
behavior of large groups of people. When analyzing crowds, one is often interested in the …

FBVA: A flow-based visual analytics approach for citywide crowd mobility

X Luo, Y Yuan, Z Li, M Zhu, Y Xu… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Analyzing structures of crowd mobility at city level is a challenging task due to the complex
crowd mobility and dynamic changes generated by the social activities over time. These …

A deep spatiotemporal perspective for understanding crowd behavior

Y Li - IEEE Transactions on multimedia, 2018 - ieeexplore.ieee.org
Understanding crowd behavior is a pivotal step toward urban scene analysis. This is
considered a very challenging task and has rarely been addressed to date due to the …

Modeling citywide crowd flows using attentive convolutional LSTM

CH Liu, C Piao, X Ma, Y Yuan, J Tang… - 2021 IEEE 37th …, 2021 - ieeexplore.ieee.org
Understanding the movement patterns of humans and vehicles traveling in a city is important
for many applications like emergency evacuation and rescue, as well as city planning and …

Spatial and temporal variations of feature tracks for crowd behavior analysis

H Fradi, JL Dugelay - Journal on Multimodal User Interfaces, 2016 - Springer
The study of crowd behavior in public areas or during some public events is receiving a lot of
attention in security community to detect potential risk and to prevent overcrowd. In this …

Physics inspired methods for crowd video surveillance and analysis: a survey

X Zhang, Q Yu, H Yu - IEEE Access, 2018 - ieeexplore.ieee.org
Crowd analysis is very important for human behavior analysis, safety science, computational
simulation, and computer vision applications. One of the most popular applications is video …

[HTML][HTML] ICE-MoCha: intelligent crowd engineering using mobility characterization and analytics

A Jabbari, KJ Almalki, BY Choi, S Song - Sensors, 2019 - mdpi.com
Human injuries and casualties at entertaining, religious, or political crowd events often occur
due to the lack of proper crowd safety management. For instance, for a large scale moving …

iSGAN: An Improved SGAN for Crowd Trajectory Prediction from Surveillance Videos

A Agarwal, M Lalit, A Bansal, KR Seeja - Procedia Computer Science, 2023 - Elsevier
AI and computer vision are making strides every day with newer solutions to real-world
problems and emerging challenges. An extremely important and useful application of …