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 …

Due to advances in information technology (eg, digital video cameras, ubiquitous sensors),
the automatic detection of human behaviors from video is a very recent research topic. In this …

We present a novel off-line algorithm for target segmentation and tracking in video. In our
approach, video data is represented by a multi-label Markov Random Field model, and …

Curve-skeletons are thinned 1D representations of 3D objects useful for many visualization
tasks including virtual navigation, reduced-model formulation, visualization improvement …

We present a semi-automatic and efficient method for producing full polygonal models of
range scanned trees, which are initially represented as sparse point clouds. First, a skeleton …

In this paper, we propose an approach for generating 3D models of natural-looking trees
from images that has the additional benefit of requiring little user intervention. While our …

This paper presents an approach to recover body motions from multiple views using a 3D
skeletal model. It takes, as input, foreground silhouette sequences from multiple viewpoints …

We explore an approach to 3D people tracking with learned motion models and
deterministic optimization. The tracking problem is formulated as the minimization of a …

We propose a general approach using Laplacian Eigenmaps and a graphical model of the
human body to segment 3D voxel data of humans into different articulated chains. In the …

In this paper we present an automatic method for calibrating a network of cameras that
works by analyzing only the motion of silhouettes in the multiple video streams. This is …