This survey reviews advances in human motion capture and analysis from 2000 to 2006,
following a previous survey of papers up to 2000 [TB Moeslund, E. Granum, A survey of …

Markerless vision-based human motion analysis has the potential to provide an
inexpensive, non-obtrusive solution for the estimation of body poses. The significant …

Proteins are fundamental biological entities mediating key roles in cellular function and
disease. This paper introduces a multi-scale graph construction of a protein–HoloProt …

We present RF-Capture, a system that captures the human figure--ie, a coarse skeleton--
through a wall. RF-Capture tracks the 3D positions of a person's limbs and body parts even …

In recent years, there has been a proliferation of works on human action classification from
depth sequences. These works generally present methods and/or feature representations …

We describe a method for articulated human detection and human pose estimation in static
images based on a new representation of deformable part models. Rather than modeling …

We propose a new objective function for superpixel segmentation. This objective function
consists of two components: entropy rate of a random walk on a graph and a balancing term …

For the classification of hyperspectral images (HSIs), this paper presents a novel framework
to effectively utilize the spectral-spatial information of superpixels via multiple kernels, which …

We describe a method for human pose estimation in static images based on a novel
representation of part models. Notably, we do not use articulated limb parts, but rather …

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 …