نتایج جستجو برای: person interactions

تعداد نتایج: 495158  

Journal: :IEEE transactions on image processing : a publication of the IEEE Signal Processing Society 2015
Xiaobin Chang Wei-Shi Zheng Jianguo Zhang

Collective activity is a collection of atomic activities (individual person's activity) and can hardly be distinguished by an atomic activity in isolation. The interactions among people are important cues for recognizing collective activity. In this paper, we concentrate on modeling the person-person interactions for collective activity recognition. Rather than relying on hand-craft description...

Journal: :Cambridge Journal of Economics 2023

Abstract An account of the nature human community organising structures has been systemised as social positioning theory. Here I explore sorts entities that are able successfully to draw on and make use form portrayed in theory, focussing especially interactions facilitated.

2001
Koichi Sato J. K. Aggarwal

This paper presents a methodology for identifying twoperson interactions in outdoor image sequences. By recognizing and tracking two persons over consecutive frames of monocular grayscale image sequences, we classify their interactions into several classes. Some of the interaction classes are: One person leaves another stationary person; two people meet coming from different directions; and one...

2010
Ciro Cattuto Wouter Van den Broeck Alain Barrat Vittoria Colizza Jean-François Pinton Alessandro Vespignani

BACKGROUND Digital networks, mobile devices, and the possibility of mining the ever-increasing amount of digital traces that we leave behind in our daily activities are changing the way we can approach the study of human and social interactions. Large-scale datasets, however, are mostly available for collective and statistical behaviors, at coarse granularities, while high-resolution data on pe...

Journal: :Asia Pacific Education Review 2021

The COVID-19 pandemic has compelled universities and higher education institutions to largely adopt online teaching avoid face-to-face interactions. Instructors students teach learn through computers, laptops, mobile phones with Internet connections. This qualitative study conducted in-depth interviews 17 university 7 instructors. It found that student-to-instructor student-to-student interacti...

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