Results 21 to 30 of about 22,245,183 (290)
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
core +3 more sources
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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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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Abnormal Prediction of Dense Crowd Videos by a Purpose–Driven Lattice Boltzmann Model
International Journal of Applied Mathematics and Computer Science, 2017 In the field of intelligent crowd video analysis, the prediction of abnormal events in dense crowds is a well-known and challenging problem. By analysing crowd particle collisions and characteristics of individuals in a crowd to follow the general trend ...
Xue Yiran +3 more
doaj +1 more source
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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Experts, coders and crowds: An analysis of substitutability [PDF]
International Political Science Review, 2017 Political scientists increasingly use crowdworkers to produce data, predominantly in the context of coding researcher-curated text or to retrieve simple data from the internet. In this article, we provide a theoretical and empirical basis for understanding when crowdworkers can provide data of sufficient quality to substitute for other types of coders.
Kyle L Marquardt +7 more
openaire +4 more sources
IEEE Access, 2020 One of the challenges of this century is to use the data that a smart-city provides to make life easier for its inhabitants. Specifically, within the area of urban mobility, the possibility of detecting anomalies in the movement of pedestrians and ...
A. Fernandez-Ares +4 more
doaj +1 more source
Comparison of Main Approaches for Extracting Behavior Features from Crowd Flow Analysis
ISPRS International Journal of Geo-Information, 2019 Extracting features from crowd flow analysis has become an important research challenge due to its social cost and the impact of inadequate planning of high-quality services and security monitoring on the lives of citizens.
Zeinab Ebrahimpour +4 more
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Scientific Reports, 2022 Unlike conventional crowd simulations for what-if analysis, agent-based crowd simulations for real-time applications are an emerging research topic and an important tool for better crowd managements in smart cities.
Fumiyasu Makinoshima, Yusuke Oishi
doaj +1 more source
Data-driven crowd analysis in videos [PDF]
2011 International Conference on Computer Vision, 2011 In this work we present a new crowd analysis algorithm powered by behavior priors that are learned on a large database of crowd videos gathered from the Internet. The algorithm works by first learning a set of crowd behavior priors off-line. During testing, crowd patches are matched to the database and behavior priors are transferred.
Rodriguez, Mikel +3 more
openaire +2 more sources