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Multi-Hypothesis Social Grouping and Tracking for Mobile Robots

Matthias Luber, Kai Arras
2013 Robotics: Science and Systems IX  
In this paper, we address the problem of detecting and learning socio-spatial relations between individuals and to track their group formations.  ...  Detecting and tracking people and groups of people is a key skill for robots in populated environments.  ...  A social network graph is built over time from observations of interacting individuals. Social relations between persons in overhead video data are recognized by Pellegrini et al. [14] .  ... 
doi:10.15607/rss.2013.ix.001 dblp:conf/rss/LuberA13 fatcat:pfrylami2vgxtldkewmxcldpcu

The Visual Social Distancing Problem [article]

Marco Cristani, Alessio Del Bue, Vittorio Murino, Francesco Setti, Alessandro Vinciarelli
2020 arXiv   pre-print
To this end, we introduce the Visual Social Distancing (VSD) problem, defined as the automatic estimation of the inter-personal distance from an image, and the characterization of the related people aggregations  ...  One of the main and most effective measures to contain the recent viral outbreak is the maintenance of the so-called Social Distancing (SD).  ...  Bailo for the results on social distancing estimation in the figures.  ... 
arXiv:2005.04813v1 fatcat:quoqdw2geva5tm5aaavyvv2epu

Group-level arousal and valence recognition in static images: Face, body and context

Wenxuan Mou, Oya Celiktutan, Hatice Gunes
2015 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
However, little attention has been paid to analysing the affect expressed by a group of people in a scene or an interaction setting, either in the form of the individual group member's affect or the overall  ...  In this paper, we (i) introduce a framework for analysing an image that contains multiple people and recognizing the arousal and valence expressed at the group-level; (ii) present a dataset of images annotated  ...  use of space and distances between people, namely proxemics, come into play in modelling the social interactions and in examining the exchange of social signals [25] .  ... 
doi:10.1109/fg.2015.7284862 dblp:conf/fg/MouCG15 fatcat:qqv4qjl4v5appbqxdbnzxxrihu

The Visual Social Distancing Problem

Marco Cristani, Alessio Del Bue, Vittorio Murino, Francesco Setti, Alessandro Vinciarelli
2020 IEEE Access  
To this end, we introduce the Visual Social Distancing (VSD) problem, defined as the automatic estimation of the inter-personal distance from an image, and the characterization of related people aggregations  ...  One of the main and most effective measures to contain the recent viral outbreak is the maintenance of the so-called Social Distancing (SD).  ...  Bailo and M. Bustreo for the results on social distancing estimation in the figures.  ... 
doi:10.1109/access.2020.3008370 fatcat:2ceecrtvefb3lgn3hus2nycbwm

Discovering social interactions in real work environments

Chih-Wei Chen, Rodrigo Cilla Ugarte, Chen Wu, Hamid Aghajan
2011 Face and Gesture 2011  
The goal of this work is to detect pairwise primitive interactions in groups for social interaction analysis in real environments.  ...  An efficient tracking method based on Chamfer matching finds the head and shoulder silhouettes of people in real-time, and a head orientation classifier estimates their head poses.  ...  We would like to thank Amir Hossein Khalili and Parinaz Sayyah for useful discussions and helping with the collection of the data.  ... 
doi:10.1109/fg.2011.5771376 dblp:conf/fgr/ChenUWA11 fatcat:pgsklrq6affvffribqjrad5ixa

Context-based trajectory descriptor for human activity profiling

Eduardo M. Pereira, Lucian Ciobanu, Jaime S. Cardoso
2014 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)  
In this paper, we present a context-based descriptor to identify individual profiles.  ...  We also identify a very rich dataset, in terms of intensity and variability of human activity, and extended it by manual annotation to validate the introduced concept of profile and test the descriptor's  ...  Such identification was done with the knowledge of social influence, perception and interaction concepts based on social context (namely culture and physical space).  ... 
doi:10.1109/smc.2014.6974283 dblp:conf/smc/PereiraCC14 fatcat:libqcoukdjdorebhkssgrksys4

Brain Responses Underlying Anthropomorphism, Agency, and Social Attribution in Autism Spectrum Disorder

Carla J. Ammons, Constance F. Doss, David Bala, Rajesh K. Kana
2018 The Open Neuroimaging Journal  
14 ASD and 14 TD adults watched videos of stick figures and triangles interacting in random or socially meaningful ways while in an fMRI scanner.  ...  Whole brain statistical analysis was performed for regression and within and between group comparisons of all conditions using SPM12's implementation of the general linear model.  ...  Based on previous studies, we hypothesized that participants with ASD would have more difficulty detecting social motives in the movements of both humanlike and shape characters and that this difficulty  ... 
doi:10.2174/1874440001812010016 pmid:29682095 pmcid:PMC5885471 fatcat:fstdwkds3jffbcqtj4h7gyblie

The geometric preference subtype in ASD: identifying a consistent, early-emerging phenomenon through eye tracking

Adrienne Moore, Madeline Wozniak, Andrew Yousef, Cindy Carter Barnes, Debra Cha, Eric Courchesne, Karen Pierce
2018 Molecular Autism  
Methods: Two hundred and twenty-seven toddlers (76 ASD) watched a 90-s video, the Complex Social GeoPref test, of dynamic geometric images paired with social images of children interacting and moving.  ...  Measures of cognitive and social functioning (MSEL, ADOS, VABS) were collected and related to eye tracking data.  ...  Acknowledgements We thank Sunny Pence, Mee-Kyoung Kwon, and Linda Lopez for the assistance with the data collection, subject tracking, and research assistant supervision, Srinivasa Nalabolu for the data  ... 
doi:10.1186/s13229-018-0202-z pmid:29581878 pmcid:PMC5861622 fatcat:6niuow4wnvhu7lvsskhx7mzrce

Social signal processing: Survey of an emerging domain

Alessandro Vinciarelli, Maja Pantic, Hervé Bourlard
2009 Image and Vision Computing  
Although each one of us understands the importance of social signals in everyday life situations, and in spite of recent advances in machine analysis of relevant behavioural cues like blinks, smiles, crossed  ...  The ability to understand and manage social signals of a person we are communicating with is the core of social intelligence.  ...  interactions in groups of several tens of individuals [43] [144] .  ... 
doi:10.1016/j.imavis.2008.11.007 fatcat:rdgx4qgxjbdjlkuji4tyh3ugue

Contributions to the Knowledge of Sexual Dimorphism in Liolaemus darwinii (Squamata, Liolaemi-dae) in the Monte Desert of Argentina

G. N. Castillo, C. J. Gonzalez-Rivas, J. C. Acosta
2021 Zoodiversity  
This constitutes the first study for the center-west of Argentina in San Juan province that implements these geometric morphometry analyses.  ...  We evaluated sexual shape variation of the cephalic region through procustes analyses with geometric morphometry.  ...  We thank the Sub-Secretary of the Environment for the permits granted (Nº 1300-3097-16), and the rangers (Mariano Hidalgo, Jorge Cayuela, Jesús Quiroga and José Castro) for their help in fi eld samplings  ... 
doi:10.15407/zoo2021.06.479 fatcat:hmwdfdlqffduzevu6sfcnrpnra

What Can Eye Movements Tell Us about Subtle Cognitive Processing Differences in Autism?

Philippa L Howard, Li Zhang, Valerie Benson
2019 Vision  
Autism spectrum disorder (ASD) is neurodevelopmental condition principally characterised by impairments in social interaction and communication, and repetitive behaviours and interests.  ...  The literature will be organised into sections covering different cognitive components, including language and social communication and interaction studies.  ...  Figure 5 . 5 The interaction between oddity type and group for first fixation duration (FFD) detected in Benson et al.'  ... 
doi:10.3390/vision3020022 pmid:31735823 pmcid:PMC6802779 fatcat:cxay6i5xpva5bkuhwtbezx4lja

Group Level Activity Recognition in Crowded Environments across Multiple Cameras

Ming-Ching Chang, Nils Krahnstoever, Sernam Lim, Ting Yu
2010 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance  
To this end, this paper addresses the problem of detecting and predicting suspicious and in particular aggressive behaviors between groups of individuals such as gangs in prison yards.  ...  We consider two approaches for grouping individuals: (i) agglomerative clustering favored by the computer vision community, as well as (ii) decisive clustering based on the concept of modularity, which  ...  Based on loitering a second related event is defined, namely the distinct groups detection.  ... 
doi:10.1109/avss.2010.65 dblp:conf/avss/ChangKLY10 fatcat:5ld2tn22rretvpdwqgeh7brhpi

Visual-Based Eye Contact Detection in Multi-Person Interactions

Mahmoud Qodseya, Franck Panta, Florence Sedes
2019 2019 International Conference on Content-Based Multimedia Indexing (CBMI)  
Thus, one or more dedicated computer vision and image processing based (e.g. face detection) methods could be leveraged for processing the input data to detect and track person(s).  ...  To overcome the limitations of existing techniques, we propose a novel geometrical method to detect eye contact in natural multi-person interactions without the need of any intrusive eyetracking device  ...  INTRODUCTION In sociology, social interaction is a dynamic relationship of communication and information exchange between two or more individuals within a group.  ... 
doi:10.1109/cbmi.2019.8877471 dblp:conf/cbmi/QodseyaPS19 fatcat:becknm2wkfhfnb3cfbhd5vdpjy

Comparing visual preferences between autism spectrum disorder (ASD) and normal children to explore the characteristics of visual preference of ASD children by improved visual preference paradigm: a case-control study

Xiaoyun Gong, Xue Li, Qiandong Wang, Sio Pan Hoi, Tingni Yin, Liyang Zhao, Fanchao Meng, Xuerong Luo, Jing Liu
2021 Translational Pediatrics  
One of features of Visual preference in autism spectrum disorder (ASD) is that they tend to social stimuli to nonsocial stimuli.  ...  The subjects presented simultaneously with dynamic object images (DOI) and dynamic social images (DSI) with the same type and same speed of repetitive movement.  ...  The language of our paper is edited by the qualified scientific editors at MedSci.  ... 
doi:10.21037/tp-21-294 pmid:34584870 pmcid:PMC8429864 fatcat:rzkcsffrcvadpb5sudgw4k7kku

Different Visual Preference Patterns in Response to Simple and Complex Dynamic Social Stimuli in Preschool-Aged Children with Autism Spectrum Disorders

Lijuan Shi, Yuanyue Zhou, Jianjun Ou, Jingbo Gong, Suhong Wang, Xilong Cui, Hailong Lyu, Jingping Zhao, Xuerong Luo, Cosimo Urgesi
2015 PLoS ONE  
Eye-tracking studies in young children with autism spectrum disorder (ASD) have shown a visual attention preference for geometric patterns when viewing paired dynamic social images (DSIs) and dynamic geometric  ...  In the present study, eye-tracking of two different paired presentations of DSIs and DGIs was monitored in a group of 13 children aged 4 to 6 years with ASD and 20 chronologically age-matched typically  ...  We thank Elixigen Corporation (Huntington Beach, California, USA) for helping in proofreading and editing the English in the final manuscript. Author Contributions  ... 
doi:10.1371/journal.pone.0122280 pmid:25781170 pmcid:PMC4363528 fatcat:shnv63zsbbd2pehaqko2l74zti
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