The recent introduction of novel acquisition devices like the Leap Motion and the Kinect
allows to obtain a very informative description of the hand pose that can be exploited for …

Three-dimensional hand gesture recognition has attracted increasing research interests in
computer vision, pattern recognition, and human-computer interaction. The emerging depth …

Abstract Analysis of human behaviour through visual information has been a highly active
research topic in the computer vision community. This was previously achieved via images …

Novel 3D acquisition devices like depth cameras and the Leap Motion have recently
reached the market. Depth cameras allow to obtain a complete 3D description of the framed …

Hand gesture recognition is still a topic of great interest for the computer vision community.
In particular, sign language and semaphoric hand gestures are two foremost areas of …

Real-time hand posture capture has been a difficult goal in computer vision. The extraction
of hand skeleton parameters would be an important milestone for sign language recognition …

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 …

This paper analyzes with a new perspective the recent state of-the-art on gesture recognition
approaches that exploit both RGB and depth data (RGB-D images). The most relevant …

This book originates from three-dimensional data processing research in the Multimedia
Technology and Telecommunications Laboratory (LTTM) at the Department of Information …

Hand posture recognition (HPR) is quite a challenging task, due to both the difficulty in
detecting and tracking hands with normal cameras and the limitations of traditional manually …