Visual Vehicle Tracking Based on Deep Representation and Semisupervised Learning

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="8"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">MTT</td><td class="align_center">CT</td><td class="align_center">KCF</td><td class="align_center">MIL</td><td class="align_center">L1T</td><td class="align_center">DSST</td><td class="align_center">Our method</td></tr><tr><td class="thead-hr" colspan="8"><hr/></td></tr><tr><td class="align_left">Average center pixel offset</td><td class="align_center">11.4</td><td class="align_center">18.8</td><td class="align_center">16.5</td><td class="align_center">23.1</td><td class="align_center">17.9</td><td class="align_center">25.2</td><td class="align_center"><b>8.3</b></td></tr><tr class="table-tr"><td colspan="8"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The average center pixel offset of each algorithm (pixels).

Journal of Sensors

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Table 2

Table 2: Visual Vehicle Tracking Based on Deep Representation and Semisupervised Learning 