3D Human Pose Estimation on HumanEva Camera C1 (Jogging)
109.2Score S1[15]
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| [15]2014.06 | 109.2 | 93.1 | 115.8 | — | |
| Simo-Serra et al. [26]2015.09 | 109.2 | 93.1 | 115.8 | 108.9 | |
| Radwan et al.2015.09 | 79.2 | 89.8 | 99.4 | 89.5 | |
| dual-source approachIteration=I, MoCap dataset source=CMU2015.09 | 76.2 | 74.5 | 58.3 | 63.6 | |
| dual-source approachIteration=II, MoCap dataset source=CMU2015.09 | 74.5 | 72.4 | 56.8 | 61.6 | |
| Simo-Serra et al. [25]2015.09 | 74.2 | 46.6 | 32.2 | 56.7 | |
| Bo et al.Bounding box=Est-BB2015.09 | 74.2 | 51.3 | 48.9 | 56.2 | |
| Bo et al.Bounding box=GT-BB2015.09 | 64.5 | 48 | 38.2 | 48.7 | |
| Robust 3D Pose Estimation2014.06 | 62.6 | 77.7 | 54.4 | — | |
| Wang et al.2015.09 | 62.6 | 77.7 | 54.4 | 71.3 | |
| Kostrikov et al.2015.09 | 57.2 | 35 | 33.3 | 40.3 | |
| dual-source approachIteration=I, MoCap dataset source=HumanEva-I2015.09 | 48.6 | 43.6 | 40 | 42.1 | |
| dual-source approachIteration=II, MoCap dataset source=HumanEva-I2015.09 | 46.6 | 41.4 | 35.4 | 38.9 | |
| Bo et al.Evaluation protocol=different evaluation protocol2015.09 | 42 | 34.7 | 46.4 | 39.1 |