Publication
In this paper, we propose a fast method to recognize human actions which accounts for intra-class variability in the
way an action is performed. We propose the use of a low
dimen...
Publication
Providing methods to support semantic interaction with growing volumes of video data is an increasingly important challenge for data mining. To this end, there has been some succes...
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Homepage CVPR
2011
IEEE
13 years 8 months ago
2011
IEEE
In this paper we explore the idea of using high-level semantic concepts, also called attributes, to represent human actions from videos and argue that attributes enable the constr...
ICMCS
2009
IEEE
13 years 10 months ago
2009
IEEE
In recent years the video event understanding is an active research topic, with many applications in surveillance, security, and multimedia search and mining. In this paper we foc...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
This paper proposes a novel human action recognition approach which represents each video sequence by a cumulative skeletonized images (called CSI) in one action cycle. Normalized-...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
A common approach to human action recognition is to use 2-D silhouettes in the space-time volume as a basis for further extraction of useful features. In this paper, we present a ...
BMVC
2010
13 years 10 months ago
2010
This paper explores a recently proposed and rarely reported subspace learning method, Spectral Regression Discriminant Analysis (SRDA) [1, 2], on silhouette based human action rec...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
We present a novel human action recognition system based on segmented skeletal features which are separated into several human body parts such as face, torso and limbs. Our propos...
JRTIP
2008
14 years 12 days ago
2008
Abstract In recent years, automatic human action recognition has been widely researched within the computer vision and image processing communities. Here we propose a realtime, emb...