Extreme learning machine (ELM) is an emerging learning algorithm for the generalized
single hidden layer feedforward neural networks, of which the hidden node parameters are …

Recently, skeleton-based human action recognition has been receiving significant attention
from various research communities due to the availability of depth sensors and real-time …

Recognizing human actions in 3-D video sequences is an important open problem that is
currently at the heart of many research domains including surveillance, natural interfaces …

In this paper we address the problem of modeling and analyzing human motion by focusing
on 3D body skeletons. Particularly, our intent is to represent skeletal motion in a geometric …

We propose a new action and gesture recognition method based on spatio-temporal
covariance descriptors and a weighted Riemannian locality preserving projection approach …

Action videos are multidimensional data and can be naturally represented as data tensors.
While tensor computing is widely used in computer vision, the geometry of tensor space is …

Trajectory analysis is essential in many applications. In this paper, we address the problem
of representing motion trajectories in a highly informative way, and consequently utilize it for …

Analyzing crowd events in a video is key to understanding the behavioral characteristics of
people (humans). Detecting crowd events in videos is challenging because of articulated …

Augmented reality assisted assembly training (ARAAT) is an effective and affordable
technique for labor training in the automobile and electronic industry. In general, most tasks …

Media streaming is the killer application in current Internet. There are a variety of media
streaming techniques in today's Internet, such as RTSP, HTTP live streaming and Adobe …