Results 1 to 10 of about 28,543 (165)

Advances and Trends in Real Time Visual Crowd Analysis [PDF]

open access: yesSensors, 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
doaj   +2 more sources

Recent trends in crowd analysis: A review

open access: yesMachine 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
doaj   +3 more sources

Crowd understanding and analysis [PDF]

open access: yesIET Image Processing, 2021
Qi Wang, Bo Liu, Jianzhe Lin
doaj   +2 more sources

Acceleration-critical density time-delay model for crowd stability analysis based on Lyapunov theory [PDF]

open access: yesMATEC 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
doaj   +1 more source

A deep crowd density classification model for Hajj pilgrimage using fully convolutional neural network [PDF]

open access: yesPeerJ 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
doaj   +2 more sources

HADF-Crowd: A Hierarchical Attention-Based Dense Feature Extraction Network for Single-Image Crowd Counting

open access: yesSensors, 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
doaj   +1 more source

Motion Pattern-Based Scene Classification Using Adaptive Synthetic Oversampling and Fully Connected Deep Neural Network

open access: yesIEEE 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
doaj   +1 more source

An analysis of manoeuvring in dense crowds [PDF]

open access: yesProceedings of the 8th ACM SIGGRAPH Conference on Motion in Games, 2015
In high-density crowds, one can observe torso twists; people rotatetheir upper body to decrease their width perpendicular to the motionpath, in order to squeeze through narrow spaces between othercrowd members. In this paper we investigate such behaviour, byrecording and analysing dense crowds.
Sybren A. Stüvel   +3 more
openaire   +5 more sources

A Data Association Model for Analysis of Crowd Structure

open access: yesInternational 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
doaj   +1 more source

CROWD ABNORMAL BEHAVIOUR DETECTION USING DEEP LEARNING [PDF]

open access: yesITM 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
doaj   +1 more source

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