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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sheng-Ming Liang Shih-Shinh Huang |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Comput. & Commun. Eng., Nat. Kaohsiung First Univ. of Sci. & Technol., Kaohsiung, Taiwan (Sheng-Ming Liang; Shih-Shinh Huang) |
| Abstract | We present a vision-based approach for positioning and tracking fingertip in a video. Multiple cues are fused through defining the likelihood probability terms in particle filtering framework. Skin color has been proven its robustness toward hand region localization in complex background. Thus, we describe it by a Gaussian distribution and further define a skin-color likelihood term. For lighting invariance, we also incorporate the contour information to define two contour likelihood terms. They respectively model the fingertip contour and two-side boundaries of finger. However, the particle filtering generally has degradation problem. To overcome this, we embed the mean shift to the particle filtering framework for convergence consideration. Finally, we validate the proposed approach by providing some experimental results. |
| Sponsorship | IEEE Consumer Electron, Soc, |
| Starting Page | 205 |
| Ending Page | 206 |
| File Size | 121441 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781467361989 |
| ISSN | 0747668X |
| e-ISBN | 9781467361996 |
| DOI | 10.1109/ISCE.2013.6570186 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-03 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image color analysis Skin Lighting Gaussian distribution Convergence Gesture recognition Consumer electronics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Electrical and Electronic Engineering |
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