Review Article
Real-Time Height Measurement for Moving Pedestrians
Table 2
The sum of errors per second of the algorithms with and without Kalman filtering.
| Heights (mm) | Kalman filtering | Sum of errors per second (%) | Sum | 1st second | 2nd second | 3rd second | 4th second | 5th second | 6th second |
| 1760 | Yes | 1.202 | 0.956 | 1.836 | 1.242 | 1.611 | 1.525 | 8.372 | No | 1.868 | 1.003 | 2.013 | 1.362 | 1.898 | 1.758 | 9.902 |
| 1676 | Yes | 2.002 | 1.799 | 1.977 | 0.863 | 1.648 | 2.137 | 10.426 | No | 2.249 | 1.968 | 2.087 | 1.602 | 1.827 | 3.261 | 12.994 |
| 1761 | Yes | 1.282 | 1.483 | 0.963 | 1.132 | 0.632 | 1.487 | 6.979 | No | 1.562 | 1.702 | 1.333 | 1.617 | 1.234 | 1.714 | 9.162 |
| 1728 | Yes | 1.629 | 1.652 | 1.354 | 1.453 | 1.224 | 0.902 | 8.214 | No | 2.201 | 2.159 | 1.912 | 1.592 | 1.984 | 1.336 | 11.184 |
| 1648 | Yes | 2.006 | 1.194 | 1.818 | 1.014 | 1.585 | 1.693 | 9.310 | No | 2.488 | 1.245 | 2.152 | 1.906 | 2.078 | 2.087 | 11.956 |
| 1629 | Yes | 1.509 | 1.838 | 0.652 | 2.344 | 1.398 | 1.109 | 8.850 | No | 1.632 | 2.536 | 1.328 | 2.508 | 1.497 | 1.340 | 10.841 |
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