Novel Kernel-Based Recognizers of Human Actions
<p/> <p>We study unsupervised and supervised recognition of human actions in video sequences. The videos are represented by probability distributions and then meaningfully compared in a probabilistic framework. We introduce two novel approaches outperforming state-of-the-art algorithms when tested o...
Salvato in:
| Autori principali: | , , |
|---|---|
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
SpringerOpen
2010-01-01
|
| Serie: | EURASIP Journal on Advances in Signal Processing |
| Accesso online: | http://asp.eurasipjournals.com/content/2010/202768 |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|