Within a large range of applications in computer vision, Human Action Recognition has
become one of the most attractive research fields. Ambiguities in recognizing actions does …

Intelligent multi-camera video surveillance is a multidisciplinary field related to computer
vision, pattern recognition, signal processing, communication, embedded computing and …

Vision-based human action recognition is the process of labeling image sequences with
action labels. Robust solutions to this problem have applications in domains such as visual …

Action recognition has become a very important topic in computer vision, with many
fundamental applications, in robotics, video surveillance, human–computer interaction, and …

We propose a human pose representation model that transfers human poses acquired from
different unknown views to a view-invariant high-level space. The model is a deep …

This paper addresses recognition of human actions under view changes. We explore self-
similarities of action sequences over time and observe the striking stability of such measures …

In this paper, we present a novel approach to recognizing human actions from different
views by view knowledge transfer. An action is originally modelled as a bag of visual-words …

We present a novel descriptor, called spatio-temporal Laplacian pyramid coding (STLPC),
for holistic representation of human actions. In contrast to sparse representations based on …

The defining feature of video compared to still images is motion, and as such the selection of
good motion features for action recognition is crucial, especially for bag of words techniques …

Most state-of-the-art approaches to action recognition rely on global representations either
by concatenating local information in a long descriptor vector or by computing a single …