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My ICIP 2006 Schedule
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Paper Detail
| Paper: | WA-P8.4 |
| Session: | Image/Video Processing Applications: Object Detection and Recognition |
| Time: | Wednesday, October 11, 09:40 - 12:20 |
| Presentation: |
Poster |
| Topic: |
Other Areas and Applications: Other |
| Title: |
DYNAMIC FINGERSPELLING RECOGNITION USING GEOMETRIC AND MOTION FEATURES |
| Authors: |
Paul Goh; Unversity of Western Australia | | | | | Eun-Jung Holden; Unversity of Western Australia | | |
| Abstract: |
This paper presents the Australian sign language (Auslan) Fingerspelling Recognizer (AFR): a system capable of recognizing signs consisting of Auslan manual alphabet letters from video sequences. The AFR system uses a combination of geometric features and motion feature based on optical flow which are extracted from video sequences. The sequence of features are then classified using Hidden Markov Models. Tests using a vocabulary of twenty signed words showed the system could achieve 97% accuracy at the letter level and 88% at the word level by using a finite state grammar network and embedded training. |
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