Research Article
Affine-Invariant Feature Extraction for Activity Recognition
Table 3
Comparison with the state of the art on the KTH and Weizmann datasets.
| Method | KTH | Weizmann |
| Our method | 93.5% | 98.0% |
Liu and Shah [15] | 92.8% | — | Wang and Mori [16] | 92.5% | — | Jhuang et al. [17] | 91.7% | — | Rodriguez et al. [9] | 88.6% | — | Rapantzikos et al. [18] | 88.3% | — | Dollár et al. [19] | 81.2% | — | Ke et al. [20] | 63.0% | — | Fathi and Mori [21] | — | 100% | Bregonzio et al. [22] | — | 96.6% | Zhang et al. [23] | — | 92.8% | Niebles et al. [24] | — | 90.0% | Dollár et al. [19] | — | 85.2% | Kläser et al. [25] | — | 84.3% |
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