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

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left"></td><td class="align_center">Training</td><td class="align_center">Validation</td><td class="align_center">Testing</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Video sequences</td><td class="align_center">2758</td><td class="align_center">684</td><td class="align_center">2040</td></tr><tr><td class="align_left">Number of frames</td><td class="align_center">6329</td><td class="align_center">4831</td><td class="align_center">—</td></tr><tr><td class="align_left">Positive snippets</td><td class="align_center">1344</td><td class="align_center">863</td><td class="align_center">—</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Wireless Communications and Mobile Computing

tab2

Table 2

Table 2: Object Detection and Movement Tracking Using Tubelets and Faster RCNN Algorithm with Anchor Generation 