Human motion tracking for rehabilitation has been an active research topic since the 1980s.
It has been motivated by the increased number of patients who have suffered a stroke, or …

Visual analysis of human motion is currently one of the most active research topics in
computer vision. This strong interest is driven by a wide spectrum of promising applications …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

Local image features or interest points provide compact and abstract representations of
patterns in an image. In this paper, we extend the notion of spatial interest points into the …

The problem of tracking curves in dense visual clutter is challenging. Kalman filtering is
inadequate because it is based on Gaussian densities which, being unimo dal, cannot …

The problem of tracking curves in dense visual clutter is a challenging one. Trackers based
on Kalman filters are of limited use; because they are based on Gaussian densities which …

Vision-based human identification at a distance has recently gained growing interest from
computer vision researchers. This paper describes a human recognition algorithm by …

The Video Surveillance and Monitoring (VSAM) team at Carnegie Mellon University (CMU)
has developed an end-to-end, multicamera surveillance system that allows a single human …

Over the past two decades, human action recognition from video has been an important
area of research in computer vision. Its applications include surveillance systems, human …

Tracking research has diverged into two camps; low-level approaches which are typically
fast and robust but provide little fine-scale information, and high-level approaches which …