Results 1 to 10 of about 465,004 (290)
Advances and Trends in Real Time Visual Crowd Analysis [PDF]
Sensors, 2020 Real time crowd analysis represents an active area of research within the computer vision community in general and scene analysis in particular. Over the last 10 years, various methods for crowd management in real time scenario have received immense ...
Khalil Khan +4 more
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Recent trends in crowd analysis: A review
Machine Learning with Applications, 2021 When overpopulated cities face frequent crowded events like strikes, demonstrations, parades or other sorts of people gatherings, they are confronted to multiple security issues. To mitigate these issues, security forces are often involved to monitor the
Mounir Bendali-Braham +4 more
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Acceleration-critical density time-delay model for crowd stability analysis based on Lyapunov theory [PDF]
MATEC Web of Conferences, 2022 Crowd stability analysis is one of research hotspots to alleviate the severe situation of stampede accidents worldwide. Different from the conventional analysis models for crowd stability based on pedestrian density, this study analyses the ...
Zhao Rongyong +5 more
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A deep crowd density classification model for Hajj pilgrimage using fully convolutional neural network [PDF]
PeerJ Computer Science, 2022 This research enhances crowd analysis by focusing on excessive crowd analysis and crowd density predictions for Hajj and Umrah pilgrimages. Crowd analysis usually analyzes the number of objects within an image or a frame in the videos and is regularly ...
Md Roman Bhuiyan +8 more
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Sensors, 2021 Crowd counting is a challenging task due to large perspective, density, and scale variations. CNN-based crowd counting techniques have achieved significant performance in sparse to dense environments.
Naveed Ilyas, Boreom Lee, Kiseon Kim
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IEEE Access, 2023 Analyzing crowded environments has become an increasingly researched topic in computer vision community, largely due to its myriad practical applications, including enhanced video surveillance systems and the estimation of crowd density in specific ...
Mohammed Sultan Mohammed +5 more
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A Data Association Model for Analysis of Crowd Structure
International Journal of Applied Mathematics and Computer Science, 2022 The paper discusses a non-deterministic model for data association tasks in visual surveillance of crowds. Using detection and tracking of crowd components (i.e., individuals and groups) as baseline tools, we propose a simple algebraic framework for ...
Zitouni M. Sami, Śluzek Andrzej
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CROWD ABNORMAL BEHAVIOUR DETECTION USING DEEP LEARNING [PDF]
ITM Web of Conferences, 2020 Crowd analysis has become an extremely famous research point in the territory of computer vision. Computerized examination of group exercises utilizing reconnaissance recordings is a significant issue for public security since it permits the ...
Sonkar Riddhi +3 more
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German crowd-investing platforms: Literature review and survey [PDF]
, 2015 This article presents a comprehensive overview of the current German crowd-investing market drawing on a data-set of 31 crowd-investing platforms including the analysis of 265 completed projects. While crowd-investing market still only represents a niche
Andrus, Bogdan-Mihai +3 more
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A close-loop verification approach for pedestrian stability based on machine vision [PDF]
MATEC Web of Conferences, 2022 In public places, it is significant to analyze the stability of the crowd which can support the crowd management and control, and protect the evacuees safely and effectively.
Zhao Rongyong +5 more
doaj +1 more source