%Aigaion2 BibTeX export from Idiap Publications
%Friday 05 December 2025 10:04:47 AM
@INPROCEEDINGS{just2004,
author = {Just, Agn{\`{e}}s and Bernier, O. and Marcel, S{\'{e}}bastien},
projects = {Idiap},
title = {Recognition of Isolated Complex Mono- and Bi-Manual 3D Hand Gestures},
booktitle = {Proc. of the sixth International Conference on Automatic Face and Gesture Recognition},
year = {2004},
note = {IDIAP-RR 03-63},
crossref = {just2003},
pdf = {https://publications.idiap.ch/attachments/reports/2003/rr03-63.pdf},
postscript = {ftp://ftp.idiap.ch/pub/reports/2003/rr03-63.ps.gz},
ipdmembership={vision},
}
crossreferenced publications:
@TECHREPORT{just2003,
author = {Just, Agn{\`{e}}s and Bernier, O. and Marcel, S{\'{e}}bastien},
projects = {Idiap},
title = {Recognition of Isolated Complex Mono- and Bi-Manual 3D Hand Gestures},
type = {Idiap-RR},
number = {Idiap-RR-63-2003},
year = {2003},
institution = {IDIAP},
note = {Published in "Proceedings of the sixth International Conference on Automatic Face and Gesture Recognition", 2004},
abstract = {In this paper, we address the problem of the recognition of isolated complex mono- and bi-manual hand gestures. In the proposed system, hand gestures are represented by the 3D trajectories of blobs. Blobs are obtained by tracking colored body parts in real-time using the EM algorithm. In most of the studies on hand gestures, only small vocabularies have been used. In this paper, we study the results obtained on a more complex database of mono- and bi-manual gestures. These results are obtained by using a state-of-the-art sequence processing algorithm, namely Hidden Markov Models (HMMs,',','),
implemented within the framework of an open source machine learning library.},
pdf = {https://publications.idiap.ch/attachments/reports/2003/rr03-63.pdf},
postscript = {ftp://ftp.idiap.ch/pub/reports/2003/rr03-63.ps.gz},
ipdmembership={vision},
}