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

Human motion analysis is receiving increasing attention from computer vision researchers.
This interest is motivated by a wide spectrum of applications, such as athletic performance …

The goal of this paper is to present a critical survey of existing literature on human and
machine recognition of faces. Machine recognition of faces has several applications …

A comprehensive survey of computer vision-based human motion capture literature from the
past two decades is presented. The focus is on a general overview based on a taxonomy of …

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 …

The ability to recognize humans and their activities by vision is key for a machine to interact
intelligently and effortlessly with a human-inhabited environment. Because of many …

The discrimination power of various human facial features is studied and a new scheme for
automatic face recognition (AFR) is proposed. The first part of the paper focuses on the …

This paper presents an overview of state-of-the-art methods in activity recognition using
semantic features. Unlike low-level features, semantic features describe inherent …

We propose a discrete choice framework for pedestrian dynamics, modelling short term
behavior of individuals as a response to the presence of other pedestrians. We use a …

57 ABSTRACT 21 Appl. No.: 08/898,470 A Surveillance System having at least one primary
Video 22 Filled: I. 22, 1997 camera for translating real images of a Zone into electronic 22 …