A common method for real-time segmentation of moving regions in image sequences
involves "background subtraction", or thresholding the error between an estimate of the image …

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 …

… Finally, WEL Grimson (personal communication) has pointed out that matching can be
carried out from either image or from both. Observe for example in figure 6c, that if matching is …

A novel method of incorporating shape information into the image segmentation process is
presented. We introduce a representation for deformable shapes and define a probability …

Intensity-based classification of MR images has proven problematic, even when advanced
techniques are used. Intrascan and interscan intensity inhomogeneities are a common …

We describe a representation of gait appearance for the purpose of person identification
and classification. This gait representation is based on simple features such as moments …

… Grimson is particularly interested in measurements that are invariant under the set of
allowed transformations, as these measurements will sharply constrain the solutions to all …

… For example, Stauffer and Grimson [7] classified tracks into different … Grimson received the
BSc (Hons) degree in mathematics and physics from the University of Regina, in 1975 and the …

… In this paper, we present a version of the Marr-Poggio-Grimson algorithm that embodies
these modifications, and we illustrate its performance on a series of natural images. …

We describe a vision system that monitors activity in a site over extended periods of time. The
system uses a distributed set of sensors to cover the site, and an adaptive tracker detects …