Results 241 to 250 of about 465,004 (290)

Crowd analysis: a survey

Machine Vision and Applications, 2008
In the year 1999 the world population reached 6 billion, doubling the previous census estimate of 1960. Recently, the United States Census Bureau issued a revised forecast for world population showing a projected growth to 9.4 billion by 2050 (US Census Bureau, http://www.census.gov/ipc/www/worldpop.html).
Beibei Zhan, Dorothy N. Monekosso, Paolo Remagnino, Sergio A. Velastin, Li-Qun Xu   +4 more
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Crowd explicit sentiment analysis

Knowledge-Based Systems, 2014
With the rapid growth of data generated by social web applications new paradigms in the generation of knowledge are opening. This paper introduces Crowd Explicit Sentiment Analysis (CESA) as an approach for sentiment analysis in social media environments.
A. Montejo-Ráez, M.C. Díaz-Galiano, F. Martínez-Santiago, L.A. Ureña-López   +3 more
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Abnormal crowd motion analysis

2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2009
Video surveillance in crowded areas is becoming more and more significant for public security. This paper presents a method for the detection of abnormality in crowded scenes based on the crowd motion characteristics. These characteristics includes the crowd kinetic energy and the motion directions.
Tian Cao, Xinyu Wu, Jinnian Guo, Shiqi Yu, Yangsheng Xu   +4 more
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Crowd-11: A Dataset for Fine Grained Crowd Behaviour Analysis

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017
Crowd behaviour analysis is a challenging task in computer vision, mainly due to the high complexity of the interactions between groups and individuals. This task is particularly crucial given the magnitude of manual monitoring required for effective crowd management.
Dupont, C., Tobias, L., Luvison, B.
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Crowd Density Analysis and tracking

2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2015
Crowd Density Analysis (CDA) aims to compute concentration of crowd in surveillance videos. This paper core is to estimate the crowd concentrations using crowd feature tracking with optical flow. Local features are extracted using Features for Accelerated Segment Test (FAST) algorithm per frame.
P.V.V. Kishore, R. Rahul, K. Sravya, A.S.C.S. Sastry   +3 more
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Crowd Behavior Analysis: A Survey

2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT), 2017
Nowadays, one of the most interesting and active research topic in computer vision is the analysis of crowd behavior. Crowd is a set of individuals gathered in a particular physical area. Analyzing crowd behavior involves many ways viz., crowd density estimation, crowd motion detection, crowd tracking and crowd behavior recognition.
Swathi H.Y., G. Shivakumar, H.S. Mohana
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Crowd Dynamics Analysis

Understanding crowd dynamics in densely populated public spaces, such as city centers, stadiums, and transit hubs, is vital for ensuring public safety and efficient management. The complexities of crowded environments introduce various challenges, including traffic congestion, overcrowding, and potential safety hazards.
Harshita Chourasia, Neha Tiwari, Shraddha Raut, Anansingh Thinakaran, Anirudh A. Bhagwat   +4 more
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Modeling Crowd Flow for Video Analysis of Crowded Scenes

2013
In this chapter, we describe a comprehensive framework for modeling and exploiting the crowd flow to analyze videos of densely crowded scenes. Our key insight is to model the characteristic patterns of motion that arise within local space-time regions of the video and then to identify and encode the statistical and temporal variation of those motion ...
Ko Nishino, Louis Kratz
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An interference analysis of crowding

Environmental Psychology and Nonverbal Behavior, 1977
The behavioral consequences of crowding are analyzed in terms of mediation by the amount of interference experienced in a setting. It is argued that the amount of interference is the major determinant of crowding stress and one of several determinants of the subjective feeling of being crowded. Research implications of this analysis are discussed.
John Schopler, Janet E. Stockdale
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Crowd-sourcing satellite image analysis

2010 IEEE International Geoscience and Remote Sensing Symposium, 2010
This paper discusses several ways in which a community of volunteers can be put together to generate good quality geographical information by the use of remote sensing image analysis tools. Three different scenarios are proposed and a system architecture, based on existing open source solutions, is suggested and discussed.
Emmanuel Christophe, Jordi Inglada, Jerome Maudlin   +2 more
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