Abstract | ||
---|---|---|
•Simultaneous recognition and segmentation of continuous hand gesture trajectories based on trajectory shape information.•Generating variable sized candidates for trajectory segments using shape-based key frame extraction.•Fusion of trajectory shape recognition and temporal feature recognition to stream gesture input. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1016/j.patrec.2017.05.016 | Pattern Recognition Letters |
Keywords | Field | DocType |
Gesture recognition,Human robot interaction,Convolution neural network,Conditional random fields,Trajectory segmentation,Trajectory shape modeling | Conditional random field,Computer vision,Pattern recognition,Convolutional neural network,Segmentation,Gesture,Computer science,Feature recognition,Gesture recognition,Artificial intelligence,Key frame,Trajectory | Journal |
Volume | Issue | ISSN |
99 | C | 0167-8655 |
Citations | PageRank | References |
10 | 0.54 | 28 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
cheoljong yang | 1 | 28 | 2.07 |
David K. Han | 2 | 23 | 7.07 |
Hanseok Ko | 3 | 421 | 80.24 |