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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhiquan Feng Bo Yang Yanwei Zheng Zhonghua Wang Yi Li |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Inf. Sci. & Eng., Univ. of Jinan, Jinan (Zhiquan Feng; Bo Yang; Yanwei Zheng) || Sch. of Control Sci. & Eng., Univ. of Jinan, Jinan (Zhonghua Wang; Yi Li) |
| Abstract | Human hand gesture is one of the natural ways used for communication for people. It also can be used for human-computer communications. So, Human hand gesture tracking and analys by artificial vision is a topic of interest. However, the high dimensions problem is one of the main barries on the way towards realtime tracking. A novel human hand gesture particle sampling method is put forward in this paper to deal with it. Microstructure of a Variable(MV), is firstly brought forward. Then, the Probability Graph(PG) is extracted from MV. Lastly, a new sampling method according to PG is presented. Both sampling and predicting are built on the base of stochastic multiple models in order to improve the tracking precision. Our experimental results demonstrate that, just using a few particles may effectively depict posteriori probability distributions in the particle filter tracking. |
| Starting Page | 367 |
| Ending Page | 371 |
| File Size | 516268 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769533049 |
| DOI | 10.1109/ICNC.2008.109 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Humans Predictive models State-space methods Information filtering History Particle tracking human hand tracking dimensionality reduction human-computer interaction Sampling methods Information filters Microstructure Acceleration |
| Content Type | Text |
| Resource Type | Article |
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