A method for action recognition based on pose and interest points
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| 008 | 210128e20150801xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s11042-014-1910-9 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11042-014-1910-9 | ||
| 245 | 0 | 2 | |a A method for action recognition based on pose and interest points |h [Elektronische Daten] |c [Lu Lu, Yi-Ju Zhan, Qing Jiang, Qing-ling Cai] |
| 520 | 3 | |a In recent years, action recognition has become a hot research topic in the image processing area. Some studies have shown that based on supervised learning, spatial-temporal interest points which are extracted from videos demonstrate good performance in human action recognition. In this paper, we define the attributes of human pose, and associate human pose with interest points for human action recognition. We find that interest points can be used as samplers of the particle filter method, and improve the precision of pose estimation. Human pose can be used to detect outliers in interest points, and improve the precision of action recognition. Location and density of interest points associated with human pose can also improve the precision of action recognition. Experiment results on the publicly available "Weizmann”, "KTH” and "UIUC” dataset demonstrate that our method outperforms the state-of-the-art methods. | |
| 540 | |a Springer Science+Business Media New York, 2014 | ||
| 690 | 7 | |a Action recognition |2 nationallicence | |
| 690 | 7 | |a Interest points |2 nationallicence | |
| 690 | 7 | |a Particle filter |2 nationallicence | |
| 690 | 7 | |a Pose estimation |2 nationallicence | |
| 700 | 1 | |a Lu |D Lu |u School of Engineering, Sun Yat-sen University, 510006, Guangzhou, China |4 aut | |
| 700 | 1 | |a Zhan |D Yi-Ju |u School of Engineering, Sun Yat-sen University, 510006, Guangzhou, China |4 aut | |
| 700 | 1 | |a Jiang |D Qing |u School of Engineering, Sun Yat-sen University, 510006, Guangzhou, China |4 aut | |
| 700 | 1 | |a Cai |D Qing-ling |u School of Engineering, Sun Yat-sen University, 510006, Guangzhou, China |4 aut | |
| 773 | 0 | |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/15(2015-08-01), 6091-6109 |x 1380-7501 |q 74:15<6091 |1 2015 |2 74 |o 11042 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11042-014-1910-9 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11042-014-1910-9 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Lu |D Lu |u School of Engineering, Sun Yat-sen University, 510006, Guangzhou, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zhan |D Yi-Ju |u School of Engineering, Sun Yat-sen University, 510006, Guangzhou, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Jiang |D Qing |u School of Engineering, Sun Yat-sen University, 510006, Guangzhou, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Cai |D Qing-ling |u School of Engineering, Sun Yat-sen University, 510006, Guangzhou, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/15(2015-08-01), 6091-6109 |x 1380-7501 |q 74:15<6091 |1 2015 |2 74 |o 11042 | ||