Results 11 to 20 of about 13,616 (168)
Crowd behavior analysis: A review where physics meets biology [PDF]
Neurocomputing, 2016 Although the traits emerged in a mass gathering are often non-deliberative, the act of mass impulse may lead to irre- vocable crowd disasters. The two-fold increase of carnage in crowd since the past two decades has spurred significant advances in the field of computer vision, towards effective and proactive crowd surveillance.
Ven Jyn Kok +2 more
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Analysis of crowd behavior through pattern virtualization.
Procedia Computer Science, 2020 Abstract The study of the concentration of individuals in public places such as squares, shopping malls, parks, gardens, etc., is an open study field in the different disciplines of science, that leads to the need of having systems that allow to forecast and to predict eventualities in uncontrolled situations, as it is the case of an earthquake. From
amelec, viloria +2 more
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A bio-inspired, motion-based analysis of crowd behavior attributes relevance to motion transparency, velocity gradients, and motion patterns. [PDF]
PLoS ONE, 2012 The analysis of motion crowds is concerned with the detection of potential hazards for individuals of the crowd. Existing methods analyze the statistics of pixel motion to classify non-dangerous or dangerous behavior, to detect outlier motions, or to ...
Florian Raudies, Heiko Neumann
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Sensors, 2022 Crowded event entrances could threaten the comfort and safety of pedestrians, especially when some pedestrians push others or use gaps in crowds to gain faster access to an event.
Ahmed Alia +2 more
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Physics Inspired Methods for Crowd Video Surveillance and Analysis: A Survey
IEEE Access, 2018 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 surveillance that plays an important role in crowd behavior analysis ...
Xuguang Zhang, Qinan Yu, Hui Yu
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Crowd Behavior Recognition Using Hybrid Tracking Model and Genetic algorithm Enabled Neural Network
International Journal of Computational Intelligence Systems, 2017 In the current era, crowd behavior analysis is important topic due to the significance of video surveillance in the public area. Literature presents a handful of works for crowd behavior detection and analysis.
Manoj Kumar, Charul Bhatnagar
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Human behavioral crowds review, critical analysis and research perspectives
Mathematical Models and Methods in Applied Sciences, 2023 This paper presents a survey and critical analysis of the mathematical literature on modeling and simulation of human crowds taking into account behavioral dynamics. The main focus is on research papers published after the review [N. Bellomo and C. Dogbè, On the modeling of traffic and crowds: A survey of models, speculations, and perspectives, SIAM ...
Bellomo, Nicola +4 more
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Taxonomy of Anomaly Detection Techniques in Crowd Scenes
Sensors, 2022 With the widespread use of closed-circuit television (CCTV) surveillance systems in public areas, crowd anomaly detection has become an increasingly critical aspect of the intelligent video surveillance system.
Amnah Aldayri, Waleed Albattah
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Deep Residual Network with Subclass Discriminant Analysis for Crowd Behavior Recognition [PDF]
2018 25th IEEE International Conference on Image Processing (ICIP), 2018 In this work, we extract rich representations of crowd behavior from video using a fine-tuned deep convolutional neural residual network. Using spatial partitioning trees we create subclasses within the feature maps from each of the crowd behavior attributes (classes).
Mandal, B +4 more
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Crowd behavior analysis using MoDTA approach
Indonesian Journal of Electrical Engineering and Computer Science, 2019 <span>In order to analyze the behaviors of human, significant extent of work has been carried out in the video surveillance applications. While considering the crowded scenes, the adopted features are crafted manually which have a great side to detect anomaly. It requires prior information and is hard to extract from complex video scenes and also
Savitha C, Dr. Ramesh. D
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