Name
Abstract | ||
|---|---|---|
One of the long-term goals in human-computer interaction is to utilize more intuitive and natural methods such as speech and hand gestures that a user would employ for communication. In this paper we present a robust method of hand tracking using a probability map computed from a joint probability function derived from both depth information and skin- tone information. The depth information is provided using a commercially available stereo camera, and the color information is found using calibrated and linearized color information. The work shows the effectiveness of this technique, in terms of both the quality of the results as well as the speed at which the computations may be performed. Due to the linearization of the color information and the use of stereo vision data, the technique is demonstrated to be largely invariant to illumination changes. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/AFGR.2008.4813459 | 2008 8TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION (FG 2008), VOLS 1 AND 2 |
Keywords | DocType | ISSN |
stereo vision,human computer interaction,calibration,stereo camera,pixel,tracking,probability,transform coding,skin | Conference | 2326-5396 |
Citations | PageRank | References |
11 | 0.81 | 6 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Corey Manders | 1 | 89 | 13.16 |
| Farzam Farbiz | 2 | 475 | 52.46 |
| Jyh Herng Chong | 3 | 11 | 0.81 |
| K. Y. Tang | 4 | 11 | 0.81 |
| Chua Gim Guan | 5 | 42 | 4.88 |
| M. H. Loke | 6 | 11 | 0.81 |
| M. L. Yuan | 7 | 55 | 5.20 |