In this paper we introduce a template-based method for recognizing human actions called
action MACH. Our approach is based on a maximum average correlation height (MACH) …

In this paper, we propose a human action recognition system suitable for embedded
computer vision applications in security systems, human-computer interaction and intelligent …

This paper explores the use of volumetric features for action recognition. First, we propose a
novel method to correlate spatio-temporal shapes to video clips that have been …

Recognizing human action in non-instrumented video is a challenging task not only
because of the variability produced by general scene factors like illumination, background …

A new view based approach to the representation and recognition of action is presented.
The basis of the representation is a motion history image (MHI)-a static image where …

Spatial-temporal local motion features have shown promising results in complex human
action classification. Most of the previous works [6],[16],[21] treat these spatial-temporal …

We present a novel action recognition method which is based on combining the effective
description properties of Local Binary Patterns with the appearance invariance and …

Our goal is to exploit human motion and object context to perform action recognition and
object classification. Towards this end, we introduce a framework for recognizing actions …

Recognizing human action from image sequences is an active area of research in computer
vision. In this paper, we present a novel method for human action recognition from image …

Visual recognition of human actions in video clips has been an active field of research in
recent years. However, most published methods either analyse an entire video and assign it …