Neuromorphic Vision Based Multivehicle Detection and Tracking for Intelligent Transportation System

<table class="fixed-width table-group" id="tab2"><tr><td><table class="table"><colgroup><col style="width:5.18em"/><col style="width:4.06em"/><col style="width:4.06em"/><col style="width:15.21em"/></colgroup><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Metrics </td><td class="align_center">Better</td><td class="align_center">Perfect</td><td class="align_center">Description</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Precision</td><td class="align_center">higher</td><td class="align_center">100%</td><td class="align_center">Ratio of TP / (TP+FP)</td></tr><tr><td class="align_left" colspan="4"><hr/></td></tr><tr><td class="align_left">Recall</td><td class="align_center">higher</td><td class="align_center">100%</td><td class="align_center">Ratio of correct detections to total number of GT boxes</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Evaluation metrics for vehicle detection, TP is the total number of true positives, FP is the total number of false positives, and GT indicates ground truth.</div>

Journal of Advanced Transportation

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Table 2: Neuromorphic Vision Based Multivehicle Detection and Tracking for Intelligent Transportation System 