Name
Title | ||
|---|---|---|
3-D Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold. |
Abstract | ||
|---|---|---|
Recognizing human actions in 3-D video sequences is an important open problem that is currently at the heart of many research domains including surveillance, natural interfaces and rehabilitation. However, the design and development of models for action recognition that are both accurate and efficient is a challenging task due to the variability of the human pose, clothing and appearance. In this ... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TCYB.2014.2350774 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Joints,Trajectory,Shape,Manifolds,Feature extraction,Vectors | Computer vision,Open problem,Pattern recognition,Riemannian manifold,3D pose estimation,Feature extraction,Artificial intelligence,Riemannian geometry,Trajectory,Manifold,Mathematics,Shape analysis (digital geometry) | Journal |
Volume | Issue | ISSN |
45 | 7 | 2168-2267 |
Citations | PageRank | References |
80 | 1.65 | 31 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maxime Devanne | 1 | 133 | 3.87 |
| Hazem Wannous | 2 | 80 | 1.65 |
| Stefano Berretti | 3 | 880 | 52.33 |
| Pietro Pala | 4 | 1239 | 91.64 |
| Mohamed Daoudi | 5 | 1489 | 86.39 |
| Alberto Del Bimbo | 6 | 3777 | 420.44 |