Texture-based Homogeneity Analysis for Crowd Scene Modelling and Abnormality Detection [PDF]
Video-based crowd behaviour analysis techniques aim at tackling challenging problems such as detecting abnormal crowd behaviours and tracking specific individuals from complex real life scenes.
Xu, Zhijie, Wang, Jing
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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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A configurable agent-based crowd model with generic behaviour effect representation mechanism [PDF]
, 2014 Most of the existing crowd models were designed for specific behaviors or scenarios (e.g., emergency evacuations and bi-directional crowd flows). Significant modifications were often required to accommodate new behaviors or new scenarios.
Sun, Q, Wu, Song, Sun, Quanbin, Wu, S
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Visual Analysis and Recognition of Crowd Behavior by Principal Component Analysis
Algerian Journal of Signals and Systems, 2021 The analysis of the human behavior from video is a wide field of the vision by computer. In this work, we are presenting mainly a new approach and method of detects behavior or abnormal events continuous of crowd in the case of the dangerous situations.
Hocine Chebi +2 more
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An Analysis Method of Crowd Abnormal Behavior for Video Service Robot
IEEE Access, 2019 Abnormal behavior analysis in crowded scenes is a challenging task in the computer vision field. Determining how to quickly and accurately locate abnormal behavior in a crowd, especially in airports, shopping malls, stations, and other practical ...
Shuqiang Guo +4 more
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Prediction Method of Abnormal Crowd AggregationBased on Group Behavior Analysis [PDF]
Jisuanji gongcheng, 2020 With the popularization of intelligent communication devices and the improvement of positioning accuracy of communication base stations,it becomes feasible to monitor and predict crowd density using the behavior data of users recorded by communication ...
HUANG Hehe, ZENG Yuanyuan, ZHANG Yi, NAI He
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The problem of crowd behavior in digital space: Philosophical and anthropological analysis [PDF]
Известия Саратовского университета. Новая серия: Серия Философия. Психология. ПедагогикаIntroduction. Crowd behavior in socio-cultural systems of a modern society is an important and multifaceted phenomenon that has a significant impact on the formation of public opinion, cultural trends and social interaction.
Karpov, Daniil E.
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Survey of Research on Crowd Congestion Detection in Dense Scenarios [PDF]
Jisuanji gongchengPerceiving and detecting crowd congestion in public spaces is an extremely challenging task in computer vision. Research on this issue, such as analyzing the motion characteristics of crowds and constructing behavior detection models, can provide ...
XU Min, HU Bin
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German crowd-investing platforms: Literature review and survey [PDF]
, 2016 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
David Grundy +3 more
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Coordinated crowd simulation with topological scene analysis [PDF]
, 2016 This paper proposes a new algorithm to produce globally coordinated crowds in an environment with multiple paths and obstacles. Simple greedy crowd control methods easily lead to congestion at bottlenecks within scenes, as the characters do not cooperate
Taku Komura +6 more
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