Recognizing Human Actions Using NWFE-Based Histogram Vectors
This study presents a novel system for human action recognition. Two research issues, namely, motion representation and subspace learning, are addressed. In order to have a rich motion descriptor, we propose to combine the distance signal and the width feature so that a silhouette can be characteriz...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
SpringerOpen
2010-01-01
|
| Schriftenreihe: | EURASIP Journal on Advances in Signal Processing |
| Online-Zugang: | http://dx.doi.org/10.1155/2010/453064 |
| Tags: |
Keine Tags, Fügen Sie das erste Tag hinzu!
|