%Aigaion2 BibTeX export from Idiap Publications %Thursday 21 November 2024 12:51:21 PM @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}, }