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 …

We present the first real-time method to capture the full global 3D skeletal pose of a human
in a stable, temporally consistent manner using a single RGB camera. Our method combines …

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 …

This paper presents and characterizes the Princeton Application Repository for Shared-
Memory Computers (PARSEC), a benchmark suite for studies of Chip-Multiprocessors …

Benchmarking has become one of the most important methods for quantitative performance
evaluation of processor and computer system designs. Benchmarking of modern …

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 …

Both detection and tracking people are challenging problems, especially in complex real
world scenes that commonly involve multiple people, complicated occlusions, and cluttered …

Automatic recovery of 3D human pose from monocular image sequences is a challenging
and important research topic with numerous applications. Although current methods are …

Many modern computations (such as video and audio encoders, Monte Carlo simulations,
and machine learning algorithms) are designed to trade off accuracy in return for increased …