This paper proposes a novel approach to pose-based human action recognition. Given a set
of training images, we first extract a scale invariant contour-based pose feature from …

Indian classical dance is the combination of gesture of all the body parts. It has varied forms
and is generally a combination of single hand mudra, double hand mudra, leg alignment …

In this paper we introduce a supervised, maximum margin framework for linear and non-
linear Non-negative Matrix Factorization. By contrast to existing methods in which the matrix …

Human action recognition, defined as the understanding of the human basic actions from
video streams, has a long history in the area of computer vision and pattern recognition …

Human activity analysis is useful in a variety of domains, including video surveillance,
biometrics, and home health monitoring systems. In computer vision field, extraction and …

In order to improve action recognition accuracy, a new nonnegative matrix factorization with
local constraint (LC-NMF) is firstly presented. By applying it for effective trajectory clustering …

This study seeks to investigate ways in which teleoperational safety can be improved though
contemporary human interfacing techniques. This paper describes a pilot study investigating …

A radar sensor can capture the distance and angle of an object. Mapping the radar distance
and angle information to the coordinates of a video frame accelerates the speed of object …

Computer vision-based interfaces to games hold the promise of rich natural interaction and
thus a more realistic gaming experience. Therefore, the video games industry started to …

Vision-based human action recognition has attracted considerable interest in recent
research for its applications to video surveillance, content-based search, healthcare, and …