Recognition of Isolated Complex Mono- and Bi-Manual 3D Hand Gestures
| Type of publication: | Idiap-RR |
| Citation: | just2003 |
| 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. |
| Userfields: | ipdmembership={vision}, |
| Keywords: | |
| Projects: |
Idiap |
| Authors: | |
| Crossref by |
just2004 |
| Added by: | [UNK] |
| Total mark: | 0 |
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