@inproceedings{4e346a30805d49c1985c1912f6b3ab9d,
title = "An experimental comparison of trajectory-based and history-based representation for gesture recognition",
abstract = "Automatic visual recognition of gestures can be performed using either a trajectory-based or a history-based representation. The former characterises the gesture using 2D trajectories of the hands. The latter summarises image sequences using values computed from individual pixel histories. A direct experimental comparison of these two approaches is presented using skin colour as a common visual cue and recognition methods based on hidden Markov models, moment features and normalised template matching. Skin history images are proposed as a useful history-based representation. Results are reported on a database of sixty gestures and the relative advantages and disadvantages of the different methods are highlighted.",
author = "Kenny Morrison and McKenna, {Stephen J.}",
note = "Copyright 2008 Elsevier B.V., All rights reserved.; 5th International Gesture Workshop, GW 2003 ; Conference date: 15-04-2003 Through 17-04-2003",
year = "2004",
language = "English",
isbn = "9783540210726",
series = "Lecture notes in computer science",
publisher = "Springer ",
pages = "152--163",
editor = "Camurri, {Antonio } and Volpe, {Gualtiero }",
booktitle = "Gesture-Based Communication in Human-Computer Interaction",
}