Human Behaviour Analysis (HBA) is more and more being of interest for computer vision
and artificial intelligence researchers. Its main application areas, like Video Surveillance and …

In this paper, we present a novel approach for human action recognition with histograms of
3D joint locations (HOJ3D) as a compact representation of postures. We extract the 3D …

This paper presents a method to recognize human actions from sequences of depth maps.
Specifically, we employ an action graph to model explicitly the dynamics of the actions and a …

We present a new descriptor for activity recognition from videos acquired by a depth sensor.
Previous descriptors mostly compute shape and motion features independently; thus, they …

Classifying videos according to content semantics is an important problem with a wide range
of applications. In this paper, we propose a hybrid deep learning framework for video …

Recently, Convolutional Neural Networks (ConvNets) have shown promising performances
in many computer vision tasks, especially image-based recognition. How to effectively use …

This paper proposes a new method, ie, weighted hierarchical depth motion maps
(WHDMM)+ three-channel deep convolutional neural networks (3ConvNets), for human …

A shape-motion prototype-based approach is introduced for action recognition. The
approach represents an action as a sequence of prototypes for efficient and flexible action …

The volume of data on the social media is huge and even keeps increasing. The need for
efficient processing of this extensive information resulted in increasing research interest in …

Recent advances in depth sensing provide exciting opportunities for the development of
new methods for human activity understanding. Yet, little work has been done in the area of …