Stereoscopic video description for human action recognition
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Yksityiskohdat
| Alkuperäiskieli | Englanti |
|---|---|
| Otsikko | IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIMSIVP 2014: 2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, Proceedings |
| Kustantaja | The Institute of Electrical and Electronics Engineers, Inc. |
| ISBN (painettu) | 9781479945047 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - 16 tammikuuta 2015 |
| OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
| Tapahtuma | 2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, CIMSIVP 2014 - Orlando, Yhdysvallat Kesto: 9 joulukuuta 2014 → 12 joulukuuta 2014 |
Conference
| Conference | 2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, CIMSIVP 2014 |
|---|---|
| Maa | Yhdysvallat |
| Kaupunki | Orlando |
| Ajanjakso | 9/12/14 → 12/12/14 |
Tiivistelmä
In this paper, a stereoscopic video description method is proposed that indirectly incorporates scene geometry information derived from stereo disparity, through the manipulation of video interest points. This approach is flexible and able to cooperate with any monocular low-level feature descriptor. The method is evaluated on the problem of recognizing complex human actions in natural settings, using a publicly available action recognition database of unconstrained stereoscopic 3D videos, coming from Hollywood movies. It is compared both against competing depth-aware approaches and a state-of-the-art monocular algorithm. Experimental results denote that the proposed approach outperforms them and achieves state-of-the-art performance.