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We present a framework for automatically summarizing social group activity over time. The problem is important in understanding large scale online social networks, which have dive...
This paper develops a probabilistic framework that can model and predict group activity over time on online social media. Users of social media sites such as Flickr often face the...
The information collected regarding group activity in a collaborative learning environment requires classifying, structuring and processing. The aim is to process this information ...
We are investigating how to provide intelligent, pervasive support of group of people within so-called “smart environments”. Our current main assumption, based on literature in...
In this paper, we propose a system identification approach for group activity recognition in traffic surveillance. Statistical shape theory is used to extract features, and then...
Long term group work by small teams is a central part of many learning and workplace activities. Widespread group support tools such as wikis, version control systems and issue tra...
While video-based activity analysis and recognition has received much attention, existing body of work mostly deals with single object/person case. Coordinated multi-object activi...