In many applications of graphical models arising in computer vision, the hidden variables of
interest are most naturally specified by continuous, non-Gaussian distributions. There exist …

Tracking pedestrians is a vital component of many computer vision applications, including
surveillance, scene understanding, and behavior analysis. Videos of crowded scenes …

Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the
motion and appearance variability produced by the large number of people within the scene …

This paper address the problems of modeling the appearance of humans and distinguishing
human appearance from the appearance of general scenes. We seek a model of …

This paper proves the uncertainty bound for the multiple Gaussian functions, termed multiple
Gaussians Uncertainty (MGU), which significantly generalizes the uncertainty principle for …

The boundaries of objects in an image are often considered a nuisance to be “handled” due
to the occlusion they exhibit. Since most, if not all, computer vision techniques aggregate …

In this paper, we present a new strategy for modeling the motion of local patches for single-
object tracking that can be seamlessly applied to most part-based trackers in the literature …

While great strides have been made in detecting and localizing specific objects in natural
images, the bottom-up segmentation of unknown, generic objects remains a difficult …

Vision-based human pose tracking promises to be a key enabling technology for myriad
applications, including the analysis of human activities for perceptive environments and …

Occlusion boundaries are notoriously difficult for many patch-based computer vision
algorithms, but they also provide potentially useful information about scene structure and …