Name
Abstract | ||
|---|---|---|
In this paper we present a system that performs automatic gesture recognition. The system consists of two main components: (i) A unified technique for segmentation and tracking of face and hands using a skin detection algorithm along with handling occlusion between skin objects to keep track of the status of the occluded parts. This is realized by combining 3 useful features, namely, color, motion and position. (ii) A static and dynamic gesture recognition system. Static gesture recognition is achieved using a robust hand shape classification, based on PCA subspaces, that is invariant to scale along with small translation and rotation transformations. Combining hand shape classification with position information and using DHMMs allows us to accomplish dynamic gesture recognition. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11919476_50 | ISVC (1) |
Keywords | Field | DocType |
real time hand gesture,skin detection algorithm,position information,pca subspaces,dynamic gesture recognition system,automatic gesture recognition,skin object,dynamic gesture recognition,static gesture recognition,hand segmentation,combining hand shape classification,robust hand shape classification,gesture recognition,real time | Digital video,Computer vision,Pattern recognition,Computer science,Segmentation,Gesture recognition,Image processing,Image segmentation,Linear subspace,Artificial intelligence,Invariant (mathematics),Principal component analysis | Conference |
Volume | ISSN | ISBN |
4291 | 0302-9743 | 3-540-48628-3 |
Citations | PageRank | References |
10 | 0.73 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Coogan | 1 | 10 | 0.73 |
| George Awad | 2 | 362 | 29.64 |
| Junwei Han | 3 | 3501 | 194.57 |
| Alistair Sutherland | 4 | 101 | 14.36 |