This paper proposes Group-In, a wireless scanning system to detect static or mobile people
groups in indoor or outdoor environments. Group-In collects only wireless traces from the …

Group detection is gaining popularity as it enables various applications ranging from
marketing to urban planning. The group information is an important social context which …

Real-time monitoring of groups and their rich contexts will be a key building block for
futuristic, group-aware mobile services. In this paper, we propose GruMon, a fast and …

Understanding one's group context in indoor spaces is useful for many reasons--eg, at a
shopping mall, knowing a customer's group context can help in offering context-specific …

The various activities that take place within an observed environment such as a university
campus, determine to a large extent, the kind of social interactions exhibited by the users in …

In an organization, individuals preferto form various formal and informal groups for mutual
interactions. Therefore, ubiquitous identification of such groups and understanding their …

Researchers have examined crowd behavior in the past by employing a variety of methods
including ethnographic studies, computer vision techniques and manual annotation based …

One of the main challenges robots need to overcome is crowd analysis. Crowd analysis
deals with the detection of individuals and interaction groups as well as the recognition of …

In day to day life, people meet strangers while commuting in public transports, roaming
around in a shopping mall, waiting at airport boarding areas etc., and thus form passively …

The pervasiveness of location-acquisition technologies leads to large amounts of spatio-
temporal data, which brings us opportunities and challenges to discover interesting group …