Object Detection and Movement Tracking Using Tubelets and Faster RCNN Algorithm with Anchor Generation

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Methods</td><td class="align_center">Detection rate</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">TCNN</td><td class="align_center">78.8%</td></tr><tr><td class="align_left">Background subtraction</td><td class="align_center">81.6%</td></tr><tr><td class="align_left">Proposed approach</td><td class="align_center">85.7%</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Object detection results for the given dataset.</div>

Wireless Communications and Mobile Computing

tab4

Table 4

Table 4: Object Detection and Movement Tracking Using Tubelets and Faster RCNN Algorithm with Anchor Generation 