Research Article
Chord-Length Shape Features for Human Activity Recognition
Table 4
Comparison with other state-of-the-art on the WEIZMANN action dataset.
| Method | Accuracy |
| Our method | 97.8% |
Fathi and Mori [33] | 100% | Bregonzio et al. [34] | 96.6% | Zhang et al. [35] | 92.8% | Niebles et al. [36] | 90.0% | Dollár et al. [11] | 85.2% |
Klaser et al. [37] | 84.3% |
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