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 …

Direct use of the hand as an input device is an attractive method for providing natural human–
computer interaction (HCI). Currently, the only technology that satisfies the advanced …

Estimating hand-object manipulations is essential for in-terpreting and imitating human
actions. Previous work has made significant progress towards reconstruction of hand poses …

Humans move their hands and bodies together to communicate and solve tasks. Capturing
and replicating such coordinated activity is critical for virtual characters that behave …

In this self-contained survey/review paper, we systematically investigate the roots of
Bayesian filtering as well as its rich leaves in the literature. Stochastic filtering theory is …

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 …

Pedestrian detection is a rapidly evolving area in computer vision with key applications in
intelligent vehicles, surveillance, and advanced robotics. The objective of this paper is to …

Hand motion capture is a popular research field, recently gaining more attention due to the
ubiquity of RGB-D sensors. However, even most recent approaches focus on the case of a …

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

A scale invariant feature transform (SIFT) based mean shift algorithm is presented for object
tracking in real scenarios. SIFT features are used to correspond the region of interests …