Name
Abstract | ||
|---|---|---|
We have developed a real-time system which tracks the hands of a person doing sign language. The system enables us to track hands without markers or colored gloves even if the hands overlap the face. First, the system extracts the hand and face regions from the sign-language image sequence using an improved histogram backprojection. Next, the system tracks hands from blobs which are computed from both the extracted image and the time differential image. The system has been tested for hand tracking using both primitive motions and the actual motions of sign-language used by native signers. The experimental results indicate that the system is able to track hands while the hand overlaps the face. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1007/3-540-63930-6_184 | ACCV (1) |
Keywords | Field | DocType |
real-time tracking,human hands,sign-language image,real time systems,sign language | Computer vision,Facial recognition system,Histogram,Colored,Pattern recognition,Computer science,Image processing,Kalman filter,Real-time operating system,Sign language,Artificial intelligence,Image sequence | Conference |
ISBN | Citations | PageRank |
3-540-63930-6 | 1 | 0.37 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazuyuki Imagawa | 1 | 1 | 0.71 |
| Shan Lu | 2 | 2 | 3.65 |
| Seiji Igi | 3 | 83 | 14.01 |