As one of the most successful applications of image analysis and understanding, face
recognition has recently received significant attention, especially during the past several …

In this work, a system for recognizing activities in the home setting using a set of small and
simple state-change sensors is introduced. The sensors are designed to be “tape on and …

We are building a home, called the Aware Home, to create a living laboratory for research in
ubiquitous computing for everyday activities. This paper introduces the Aware Home project …

The research topic of looking at people, that is, giving machines the ability to detect, track,
and identify people and more generally, to interpret human behavior, has become a central …

Visual surveillance using multiple cameras has attracted increasing interest in recent years.
Correspondence between multiple cameras is one of the most important and basic problems …

Sentient Computing provides computers with perception so that they can react and provide
assistance to user activities. Physical spaces are made sentient when they are wired with …

As computing technology continues to become increasingly pervasive and ubiquitous, we
envision the development of environments that can sense what we are doing and support …

We propose a distributed, real-time computing platform for tracking multiple interacting
persons in motion. To combat the negative effects of occlusion and articulated motion we …

Activity recognition is a hot topic in context-aware computing. In activity recognition, machine
learning techniques have been widely applied to learn the activity models from labeled …

With the proliferation of security cameras, the approach taken to monitoring and placement
of these cameras is critical. This paper presents original work in the area of multiple camera …