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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Te-Cheng Liu Ko-Chih Wang Tsai, A. Chieh-Chih Wang |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan (Te-Cheng Liu; Chieh-Chih Wang) || Innovative DigiTech-Enabled Applications and Services Institute, Institute for Information Industry, Taipei, Taiwan (Tsai, A.) || Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan (Ko-Chih Wang) |
| Abstract | Body-language understanding is essential to human robot interaction, and hand posture recognition is one of the most important components in a body-language recognition system. The existing hand posture recognition approaches based on robust local features such as SIFT can be invariant to background noise and in-plane rotation. However the ignorance of the relationships among local features is a fundamental issue. The part-based models argue that objects of the same category share the same part-structure which consists of parts and relationships among parts. In this paper, a discriminative part-based model, Hidden Conditional Random Fields (HCRFs), is used to recognize hand postures. Although the existing global locations of features have been used to consider large scale dependency among parts in the HCRFs framework, the results are not invariant to in-plane rotation. New features by the distance to the image center are proposed to encode the global relationship as well as to perform in-plane rotation-invariant recognition. The experimental results demonstrate that the proposed approach is in-plane rotation-invariant and outperforms the approach using AdaBoost with SIFT. |
| Starting Page | 1828 |
| Ending Page | 1833 |
| File Size | 523631 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424428526 |
| DOI | 10.1109/AIM.2009.5229788 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-14 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Face detection Detectors Human robot interaction Face recognition Background noise Image recognition Cameras Noise robustness Large-scale systems Skin |
| Content Type | Text |
| Resource Type | Article |
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