A Review on Particle Swarm Optimization Algorithm and Its Variants to Human Motion Tracking

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">Search strategies</td><td align="center">Error [mm] 20 fps</td><td align="center">Error [mm] 60 fps</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">Holistic (global PSO) </td><td align="center">84.00 ± 17.00 mm</td><td align="center">48.20 ± 8.00 mm</td></tr><tr><td align="left">Hierarchical search with hard partitioning (H-HP)</td><td align="center">68.20 ± 14.00 mm</td><td align="center">46 ± 6.20 mm</td></tr><tr><td align="left">Hierarchical search with soft partitioning (H-SP)</td><td align="center">46.30 ± 14.20 mm</td><td align="center">38.00 ± 4.00 mm</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>


              3D distance tracking error calculated for Lee walk sequences (5 runs).

Mathematical Problems in Engineering

tab3

Table 3

Table 3: A Review on Particle Swarm Optimization Algorithm and Its Variants to Human Motion Tracking 