Realtime Vehicle Tracking Method Based on YOLOv5 + DeepSORT

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Network structure</td><td class="align_center">Parameter quantity</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">C3_1</td><td class="align_center">18816</td></tr><tr><td class="align_left">C3_2</td><td class="align_center">156928</td></tr><tr><td class="align_left">C3_3</td><td class="align_center">625152</td></tr><tr><td class="align_left">C3_4</td><td class="align_center">1182720</td></tr><tr><td class="align_left">DSC_1</td><td class="align_center">4928</td></tr><tr><td class="align_left">DSC_2</td><td class="align_center">54144</td></tr><tr><td class="align_left">DSC_3</td><td class="align_center">206592</td></tr><tr><td class="align_left">DSC_4</td><td class="align_center">268800</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Number of parameters before and after replacement.</div>

Computational Intelligence and Neuroscience

tab3

Table 3

Table 3: Realtime Vehicle Tracking Method Based on YOLOv5 + DeepSORT 