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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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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A human behavior analysis model to track object behavior in surveillance videos
Measurement: Sensors, 2022 In potential disasters, real world scenarios and public events, understanding of crowd psychology is a challenging process and detection of crowd behaviors in those events is quite complicated.
Shruthi +2 more
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Abnormal Behavior Detection over Normal Data and Abnormal-augmented Data in Crowded Scenes [PDF]
Journal of Artificial Intelligence and Data Mining, 2022 In this article, we consider the problems of abnormal behavior detection in a high-crowded environment. One of the main issues in abnormal behavior detection is the complexity of the structure patterns between the frames.
V. Fazel Asl, B. Karasfi, B. Masoumi
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A COMPARATIVE STUDY OF CROWD COUNTING AND PROFILING THROUGH VISUAL AND NON-VISUAL SENSORS [PDF]
Acta Informatica Malaysia, 2019 In this paper we present a comparative critical study of visual and non-visual sensors used in crowd behavior analysis. The understanding of crowd has main impact of the analysis how much they support the system is the key factor of the analysis.
Jugal Kishor Gupta, S.K. Gupta
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Behavioral data assists decisions: exploring the mental representation of digital-self
International Journal of Crowd Science, 2021 PurposeThe behavioral decision-making of digital-self is one of the important research contents of the network of crowd intelligence. The factors and mechanisms that affect decision-making have attracted the attention of many researchers.
Yixin Zhang +4 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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