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Accurate recognition of large number of hand gestures

Shamaie, Atid and Sutherland, Alistair (2003) Accurate recognition of large number of hand gestures. In: 2nd Iranian Conference on Machine Vision and Image Processing, 13-15 February 2003, Tehran, Iran.

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Abstract

A hierarchical gesture recognition algorithm is introduced to recognise a large number of gestures. Three stages of the proposed algorithm are based on a new hand tracking technique to recognise the actual beginning of a gesture using a Kalman filtering process, hidden Markov models and graph matching. Processing time is important in working with large databases. Therefore, special cares are taken to deal with the large number of gestures, which are partially similar.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:No
Uncontrolled Keywords:HMM; PCA; Graph Matching; Kalman Filter; Tracking;
Subjects:Computer Science > Digital video
Computer Science > Algorithms
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:320
Deposited On:13 Mar 2008 by DORAS Administrator. Last Modified 03 Feb 2009 15:05

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