Improved YOLOv4 for Pedestrian Detection and Counting in UAV Images

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Test set</td><td class="align_center">AP<sub>50</sub></td><td class="align_center">MAE of density map</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">A</td><td class="align_center">39.32</td><td class="align_center">11.68</td></tr><tr><td class="align_left">B</td><td class="align_center">43.23</td><td class="align_center">10.62</td></tr><tr><td class="align_left">C</td><td class="align_center">39.37</td><td class="align_center">13.35</td></tr><tr><td class="align_left">D</td><td class="align_center">39.74</td><td class="align_center">13.46</td></tr><tr><td class="align_left">E</td><td class="align_center">41.17</td><td class="align_center">11.87</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The result of K-fold validation experiment.</div>

Computational Intelligence and Neuroscience

tab5

Table 5

Table 5: Improved YOLOv4 for Pedestrian Detection and Counting in UAV Images 