Crowd Counting and Abnormal Behavior Detection via Multiscale GAN Network Combined with Deep Optical Flow

<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 class="align_left" rowspan="2">Models</td><td class="align_center" colspan="2">UCF-QNRF</td></tr><tr class="thead"><td class="align_center">MAE</td><td class="align_center">MSE</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">TEDNet</td><td class="align_center">113.85</td><td class="align_center">188.25</td></tr><tr><td class="align_left">S_CNN</td><td class="align_center">230.2</td><td class="align_center">435.22</td></tr><tr><td class="align_left">MCNN</td><td class="align_center">270.25</td><td class="align_center">423.25</td></tr><tr><td class="align_left">Proposed</td><td class="align_center">113.41</td><td class="align_center">156.23</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Quantitative result for UCF-QNRF dataset.</div>

Mathematical Problems in Engineering

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Table 3

Table 3: Crowd Counting and Abnormal Behavior Detection via Multiscale GAN Network Combined with Deep Optical Flow 