Intelligent multi-camera video surveillance is a multidisciplinary field related to computer
vision, pattern recognition, signal processing, communication, embedded computing and …

While research on articulated human motion and pose estimation has progressed rapidly in
the last few years, there has been no systematic quantitative evaluation of competing …

This paper addresses recognition of human actions under view changes. We explore self-
similarities of action sequences over time and observe the striking stability of such measures …

In this paper, we present a novel approach to recognizing human actions from different
views by view knowledge transfer. An action is originally modelled as a bag of visual-words …

This paper concerns recognition of human actions under view changes. We explore self-
similarities of action sequences over time and observe the striking stability of such measures …

Human activity recognition is central to many practical applications, ranging from visual
surveillance to gaming interfacing. Most approaches addressing this problem are based on …

We formulate the problem of 3D human pose estimation and tracking as one of inference in
a graphical model. Unlike traditional kinematic tree representations, our model of the body is …

In this paper, we propose a novel method for cross-view action recognition via a continuous
virtual path which connects the source view and the target view. Each point on this virtual …

We introduce a new class of probabilistic latent variable model called the Implicit Mixture of
Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. Key …

Dynamic multi-person mesh recovery has been a hot topic in 3D vision recently. However,
few works focus on the multi-person motion capture from uncalibrated cameras, which …