Name
Abstract | ||
|---|---|---|
A novel sampling method is put forward in this paper. Firstly, under specific human-computer conditions, both cognitive psychology features of operators and motion features of the operators' hands are studied, upon which a basic assumption is made. Then, a sampling algorithm is put forward. Finally, in order to demonstrate validity and performance of our algorithm, a great deal of experiments is completed. By using fewer particles, compared with conventional particle filtering, the approach presented in this paper may achieve better tracking precision. In forms of both the theoretical analysis and a great deal of experimental results from real video data, just a few particles are needed to describe post probability distribution of state variables without reducing the tracking precision by our dimensionality reduction method. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICYCS.2008.70 | ICYCS |
Keywords | Field | DocType |
great deal,better tracking precision,dimensionality reduction method,fewer particle,conventional particle,cognitive psychology feature,tracking precision,sampling algorithm,particle filtering,basic assumption,human hand tracking,probability distribution,solid modeling,virtual reality,dimensionality reduction,human computer interaction,acceleration,filtering,sampling methods,cognitive psychology,particle filter | Computer vision,Dimensionality reduction,Computer science,Particle filter,Filter (signal processing),Probability distribution,Operator (computer programming),Solid modeling,Sampling (statistics),Artificial intelligence,State variable | Conference |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiquan Feng | 1 | 49 | 12.93 |
| Bo Yang | 2 | 519 | 52.33 |
| Yuehui Chen | 3 | 1167 | 106.13 |
| Yan Jiang | 4 | 0 | 0.34 |
| Tao Xu | 5 | 28 | 4.37 |
| Haokui Tang | 6 | 14 | 3.77 |