Vision-based human action recognition is the process of labeling image sequences with
action labels. Robust solutions to this problem have applications in domains such as visual …

This paper presents a unified approach to solve different bilinear factorization problems in
computer vision in the presence of missing data in the measurements. The problem is …

This paper proposes an approach to compute view-normalized body part trajectories of
pedestrians walking on potentially non-linear paths. The proposed approach finds …

A moving plane observed by a fixed camera induces a fundamental matrix F across multiple
frames, where the ratios among the elements in the upper left 2× 2 submatrix are herein …

We propose a new view-invariant measure for action recognition. For this purpose, we
introduce the idea that the motion of an articulated body can be decomposed into rigid …

This paper proposes an approach to compute and evaluate view-normalized body part
trajectories of pedestrians from monocular video sequences. The proposed approach uses …

Human gait has been shown to be an effective biometric measure for person identification at
a distance. On the other hand, changes in the view angle pose a major challenge for gait …

We address the problem of performing decision tasks and, in particular, classification and
recognition in the space of dynamical models in order to compare time series of data …

Feature extraction is a crucial part of computer vision. In this paper, we present a novel
method that can automatically extract relevant features from video for action recognition and …

In this work we describe the usage of bilinear statistical models as a means of factoring the
shape variability into two components attributed to inter-subject variation and to the intrinsic …