Name
Title | ||
|---|---|---|
A novel hand posture recognition system based on sparse representation using color and depth images |
Abstract | ||
|---|---|---|
Hand posture is a natural and effective human robot interaction way. In this paper, an user-independent hand posture recognition system using depth and color images captured from an RGB-D camera is presented. To recognize hand posture against complicated background conditions, we propose a novel method for automatic and accurate hand posture segmentation which detects the hand with Chamfer matching, tracks the hand with Kalman filter and segments the hand with region growing algorithm only in the depth space. A new hand posture descriptor invariant to scale, shift and in-plane rotation is constructed with the combination of local contour Fourier descriptor and global Bag-of-Features (BoF) descriptor based on Scale Invariance Feature Transform (SIFT). The sparse representation-based classification (SRC) is applied to perform the hand posture recognition task in the system. Experiments with a self-built large scale hand posture database collected online show the robustness and effectiveness of the proposed system. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IROS.2013.6696894 | IROS |
Keywords | Field | DocType |
chamfer matching,automatic posture segmentation,local contour fourier descriptor,kalman filter,image representation,kalman filters,image matching,human robot interaction,depth space,src,user-independent hand posture recognition system,in-plane rotation,complicated background conditions,human-robot interaction,visual databases,image segmentation,shift rotation,color images,region growing algorithm,global bag-of-features descriptor,image classification,scale rotation,cameras,depth images,global bof descriptor,hand tracking,rgb-d camera,scale invariance feature transform,self-built large scale hand posture database,transforms,sparse representation-based classification,hand posture descriptor,image colour analysis,sift | Scale-invariant feature transform,Computer vision,Pattern recognition,Segmentation,Computer science,Sparse approximation,Image segmentation,Kalman filter,Robustness (computer science),Artificial intelligence,RGB color model,Contextual image classification | Conference |
Volume | Issue | ISSN |
null | null | 2153-0858 |
Citations | PageRank | References |
2 | 0.39 | 10 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dan Xu | 1 | 342 | 16.39 |
| Yen-Lun Chen | 2 | 96 | 10.74 |
| Xinyu Wu | 3 | 515 | 80.44 |
| Wei Feng | 4 | 81 | 11.39 |
| Huihuan Qian | 5 | 140 | 34.90 |
| Yangsheng Xu | 6 | 1541 | 245.29 |