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...
Збережено в:
| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
SpringerOpen
2010-01-01
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| Серія: | EURASIP Journal on Advances in Signal Processing |
| Онлайн доступ: | http://dx.doi.org/10.1155/2010/453064 |
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