@InProceedings{CamposMayoMurr:2006:DiAtWe,
author = "de Campos, Teofilo and Mayol Cuevas, Walterio W. and Murray, David
W.",
affiliation = "Department of Engineering Science, University of Oxford and
Department of Computer Science, University of Bristol and
Department of Engineering Science, University of Oxford",
title = "Directing the attention of a wearable camera by pointing
gestures",
booktitle = "Proceedings...",
year = "2006",
editor = "Oliveira Neto, Manuel Menezes de and Carceroni, Rodrigo Lima",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 19.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "3D hand tracking, hand detection, wearable robots.",
abstract = "Wearable visual sensors provide views of the environment which are
rich in information about the wearers location, interactions and
intentions. In the wearable domain, hand gesture recognition is
the natural replacement for keyboard input. We describe a
framework combining a coarse-to-fine method for shape detection
and a 3D tracking method that can identify pointing gestures and
estimate their direction. The low computational complexity of both
methods allows a real-time implementation that is applied to
estimate the users focus of attention and to control fast
redirections of gaze of a wearable active camera. Experiments have
demonstrated a level of robustness of this system in long and
noisy image sequences.",
conference-location = "Manaus, AM, Brazil",
conference-year = "8-11 Oct. 2006",
doi = "10.1109/SIBGRAPI.2006.13",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2006.13",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/LMmuu",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/LMmuu",
targetfile = "deCamposT-Gestures.pdf",
urlaccessdate = "2025, Feb. 16"
}