The recognition of continuous natural gestures is a complex and challenging problem due to
the multi-modal nature of involved visual cues (eg fingers and lips movements, subtle facial …

We present a methodology to address the problem of human gesture segmentation and
recognition in video and depth image sequences. A Bag-of-Visual-and-Depth-Words …

In this paper we present a non-invasive ambient intelligence framework for the analysis of
non-verbal communication applied to conversational settings. In particular, we apply feature …

The research goal of this work is to develop learning methods advancing automatic analysis
and interpreting of human motion from different perspectives and based on various sources …

This paper presents a novel method extracting biometric measures using depth sensors.
Given a multi-part labeled training data, a new subject is aligned to the best model of the …

[eng] The visual analysis of humans is one of the most active research topics in Computer
Vision. Several approaches for body pose recovery have been recently presented, allowing …

[eng] The visual analysis of humans from images is an important topic of interest due to its
relevance to many computer vision applications like pedestrian detection, monitoring and …

Noninvasive methods of detection of diseases are very important in the medical domain.
Imaging modalities such as MRI are usually employed and present the state of the art. As of …

[eng] The representation (or feature) learning has been an emerging concept in the last
years, since it collects a set of techniques that are present in any theoretical or practical …

El grup d'investigació SUnAI, amb vinculació a la Universitat Oberta de Catalunya i dedicat
a millorar i crear tècniques d'identificació i reconeixement d'objectes visualitzats en imatges …