Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

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

The key limiting factor in graphical model inference and learning is the complexity of the
partition function. We thus ask the question: what are the most general conditions under …

A new approach toward target representation and localization, the central component in
visual tracking of nonrigid objects, is proposed. The feature histogram-based target …

The ability to simultaneously localize a robot and accurately map its surroundings is
considered by many to be a key prerequisite of truly autonomous robots. However, few …

Our goal is to develop a visual monitoring system that passively observes moving objects in
a site and learns patterns of activity from those observations. For extended sites, the system …

W/sup 4/is a real time visual surveillance system for detecting and tracking multiple people
and monitoring their activities in an outdoor environment. It operates on monocular gray …

In recent years the need for indoor localisation has increased. Earlier systems have been
deployed in order to demonstrate that indoor localisation can be done. Many researchers …

This paper presents a general, trainable system for object detection in unconstrained,
cluttered scenes. The system derives much of its power from a representation that describes …

Background maintenance is a frequent element of video surveillance systems. We develop
Wallflower, a three-component system for background maintenance: the pixel-level …