Moving Object Tracking in Satellite Videos by Kernelized Correlation Filter Based on Color-Name Features and Kalman Prediction

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="9"><hr/></td></tr><tr class="thead"><td class="align_left">Methods</td><td class="align_center">KCF</td><td class="align_center">K-KCF</td><td class="align_center">CN-KCF</td><td class="align_center">CSK</td><td class="align_center">STRUCK</td><td class="align_center">MeanShift</td><td class="align_center">CamShift</td><td class="align_center">CNK-KCF (ours)</td></tr><tr><td class="thead-hr" colspan="9"><hr/></td></tr><tr><td class="align_left">Precision</td><td class="align_center">0.963</td><td class="align_center">0.952</td><td class="align_center">0.959</td><td class="align_center">0.958</td><td class="align_center">0.977</td><td class="align_center">0.220</td><td class="align_center">0</td><td class="align_center">0.981</td></tr><tr><td class="align_left">Success rate</td><td class="align_center">0.889</td><td class="align_center">0.866</td><td class="align_center">0.878</td><td class="align_center">0.873</td><td class="align_center">0.925</td><td class="align_center">0.186</td><td class="align_center">0.010</td><td class="align_center">0.935</td></tr><tr class="table-tr"><td colspan="9"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The precision and success rate in comparison with other seven trackers for airplane-3.</div>

Wireless Communications and Mobile Computing

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Table 4

Table 4: Moving Object Tracking in Satellite Videos by Kernelized Correlation Filter Based on Color-Name Features and Kalman Prediction 