Gait recognition from motion capture data, as a pattern classification discipline, can be
improved by the use of machine learning. This article contributes to the state of the art with a …

Human motion retrieval from motion capture data forms the fundamental basis for computer
animation. In this paper, the authors propose an efficient human motion retrieval approach …

Graphs are frequently used to provide a powerful representation for structured data.
However, it is still a challenging task to model 3D human motions due to its large spatio …

Prevalent use of motion capture (MoCap) produces large volumes of data and MoCap data
retrieval becomes crucial for efficient data reuse. MoCap clips may not be neatly segmented …

The development of motion capturing devices poses new challenges in the exploitation of
human‐motion data for various application fields, such as computer animation, visual …

In this work, we propose an original scheme for generic content-based retrieval of marker-
based motion capture data. It works on motion capture data of arbitrary subject types and …

Sketch-based human motion retrieval is a hot topic in computer animation in recent years. In
this paper, we present a novel sketch-based human motion retrieval method via selected 2 …

An efficient retrieval mechanism is essential to search for a particular motion from a large
corpus. This has proven to be a challenging task as human motion is high dimensional in …

Content-based human motion capture (MoCap) data retrieval facilitates reusing motion data
that have already been captured and stored in a database. For a MoCap data retrieval …

Keyframes are a summary representation of motion capture data, which provide the basis for
compression, retrieval, overview and reuse of motion capture data. In this paper, a new …