Referenced Items are not available for this document.
This paper proposes a 3D view-invariant human action recognition method based on Hidden Markov Models. The natures of the actions, as well as the characteristics of the actors and different performance styles have been successfully recognized. The results have been compared to nearest neighbor and similarity search based recognition for further evaluation. Also the research addresses the problem of re-synthesis of motion. Transformation of moods, genders, and other characteristics of the actor have successfully been carried out, and the entire action has been re-synthesized for various purposes such as animation.
Published in:
Multimedia Computing and Systems, 2009. ICMCS '09. International Conference on
Date of Conference: 2-4 April 2009
- Page(s):
- 106 - 111
- E-ISBN :
- 978-1-4244-3757-3
- Print ISBN:
- 978-1-4244-3756-6
- INSPEC Accession Number:
- 10881478
- Conference Location :
- Ouarzazate
- Digital Object Identifier :
- 10.1109/MMCS.2009.5256719
- Product Type:
- Conference Publications
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