User-independent online gesture recognition by relative motion extraction

Authors
Raytchev, B Hasegawa, O Otsu, N
Citation
B. Raytchev et al., User-independent online gesture recognition by relative motion extraction, PATT REC L, 21(1), 2000, pp. 69-82
Citations number
19
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
PATTERN RECOGNITION LETTERS
ISSN journal
01678655 → ACNP
Volume
21
Issue
1
Year of publication
2000
Pages
69 - 82
Database
ISI
SICI code
0167-8655(200001)21:1<69:UOGRBR>2.0.ZU;2-S
Abstract
We propose a new method for user-independent gesture recognition from time- varying images. The method uses relative motion-dependent feature extractio n, together with discriminant analysis and dynamically updated buffer struc tures for providing online learning/recognition abilities. Efficient and ro bust extraction/representation of information about motion is achieved, Bei ng computationally inexpensive the method allows real-time performance. (C) 2000 Elsevier Science B.V. All rights reserved.