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Crowd Density Analysis and tracking
2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2015Crowd 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 +3 more
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Crowd explicit sentiment analysis
Knowledge-Based Systems, 2014With 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.
Arturo Montejo-Ráez +3 more
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Pattern recognition and crowd analysis
Pattern Recognition Letters, 2014The present collection is the result of a review process done on the contributions received in response to an open call for a thematic special issue dealing with pattern recognition and crowd analysis. Part of the submitted contributions are significantly extended versions of papers discussed at the first edition of the Workshop on “Pattern Recognition
Stefania Bandini +2 more
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Abnormal crowd motion analysis
2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2009Video 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 0001 +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), 2017Crowd 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 Analysis and Its Applications
2011Crowd is a unique group of individual or something involves community or society. The phenomena of the crowd are very familiar in a variety of research discipline such as sociology, civil and physic. Nowadays, it becomes the most active-oriented research and trendy topic in computer vision.
Nilam Nur Amir Sjarif +3 more
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An interference analysis of crowding
Environmental Psychology and Nonverbal Behavior, 1977The 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, 2010This 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 +2 more
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A discriminative tracklets representation for crowd analysis
2015 IEEE International Conference on Image Processing (ICIP), 2015In this work, we propose a discriminative tracklets representation for motion pattern extraction from crowded scene. The representation incorporates relative position, velocity, and direction information of tracklet into one compact form by shaping it within a rectangle.
Chongjing Wang +4 more
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Bilinear dynamics for crowd video analysis
Journal of Visual Communication and Image Representation, 2017Abstract In this paper, a novel crowd descriptor, termed as bilinear CD (Curl and Divergence) descriptor, is proposed based on the bilinear interaction of curl and divergence. Specifically, the curl and divergence activation maps are computed from the normalized average flow.
Shuang Wu 0001 +5 more
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