Name
Abstract | ||
|---|---|---|
Dance movements recognition is a challenging research issue, due to the complexity of movement, complex attitude transition, and the movement interpretation diversity between human subjects. Moreover, for a static camera, dancer's behavior is often occluded by a human's body parts or other objects. A real-time prototype is proposed to verify that the complicated dancing behaviors can be recognized. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/VCIP.2018.8698694 | 2018 IEEE INTERNATIONAL CONFERENCE ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING (IEEE VCIP) |
Keywords | Field | DocType |
Kinematic, movement recognition, dancing, real-time | Computer vision,Dance,Kinematics,Recognition system,Computer science,Movement recognition,Artificial intelligence | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chih-Chieh Fang | 1 | 0 | 1.35 |
| Wei-Chen Yen | 2 | 0 | 0.68 |
| Yen-Cheng Chang | 3 | 0 | 0.34 |
| Shih-Wei Sun | 4 | 127 | 20.28 |