Results 11 to 20 of about 465,004 (290)
Data-driven Crowd Analysis in Videos [PDF]
2011 International Conference on Computer Vision, 2011 International audienceIn this work we present a new crowd analysis algorithm powered by behavior priors that are learned on a large database of crowd videos gathered from the Internet.
Audibert, Jean-Yves +3 more
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Deep Learning-Based Crowd Scene Analysis Survey [PDF]
Journal of Imaging, 2020 Recently, our world witnessed major events that attracted a lot of attention towards the importance of automatic crowd scene analysis. For example, the COVID-19 breakout and public events require an automatic system to manage, count, secure, and track a ...
Sherif Elbishlawi +4 more
doaj +3 more sources
Crowd understanding and analysis [PDF]
IET Image Processing, 2021 Qi Wang, Bo Liu, Jianzhe Lin
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FROM CROWD DYNAMICS TO CROWD SAFETY: A VIDEO-BASED ANALYSIS [PDF]
Advances in Complex Systems, 2008 The study of crowd dynamics is interesting because of the various self-organization phenomena resulting from the interactions of many pedestrians, which may improve or obstruct their flow. Besides formation of lanes of uniform walking direction and oscillations at bottlenecks at moderate densities, it was recently discovered that stop-and-go waves [D.
Johansson, A +3 more
openaire +5 more sources
IEEE Access, 2020 Motion pattern segmentation for crowded video scenes is an open problem because of the inability of existing approaches to tackle unpredictable crowd behaviour across varied scenes.
Abhilash K. Pai +2 more
doaj +1 more source
Towards the cognitive and psychological perspectives of crowd behaviour: a vision-based analysis
Connection Science, 2021 Smart and proactive surveillance of crowds has turned up into greater importance in recent years due to the increase in urban population and immutable crowd disasters. Although the behaviours that emerged in a crowd are often unpredictable, researches in
Elizabeth B. Varghese, Sabu M. Thampi
doaj +1 more source
Mathematics, 2023 Coherent motions depict the individuals’ collective movements in widely existing moving crowds in physical, biological, and other systems. In recent years, similarity-based clustering algorithms, particularly the Coherent Filtering (CF) clustering ...
Sami Abdulla Mohsen Saleh +6 more
doaj +1 more source
IEEE Access, 2020 Nowadays, crowd analysis is one of the most important concepts that needs be relied upon, it contributes to decision making and ensuring the safety and security of the crowd.
Reem Alotaibi +5 more
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Visual crowd analysis: Open research problems
AI Magazine, 2023 AbstractOver the last decade, there has been a remarkable surge in interest in automated crowd monitoring within the computer vision community. Modern deep‐learning approaches have made it possible to develop fully automated vision‐based crowd‐monitoring applications.
Muhammad Asif Khan +2 more
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Crowd Disasters as Systemic Failures: Analysis of the Love Parade Disaster [PDF]
, 2012 Each year, crowd disasters happen in different areas of the world. How and why do such disasters happen? Are the fatalities caused by relentless behavior of people or a psychological state of panic that makes the crowd 'go mad'?
Helbing, Dirk, Mukerji, Pratik
core +3 more sources