Sports Video Motion Direction Detection and Target Tracking Algorithm Based on Convolutional Neural Network

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left"></td><td class="align_center">Detection rate (%)</td><td class="align_center">False-positive rate (%)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Paper scheme</td><td class="align_center">75.41%</td><td class="align_center">1.62%</td></tr><tr><td class="align_left">AdaBoost scheme</td><td class="align_center">70.02%</td><td class="align_center">1.34%</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of the average detection rate and false alarm rate of the two schemes for all player detection.</div>

Wireless Communications and Mobile Computing

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Table 4

Table 4: Sports Video Motion Direction Detection and Target Tracking Algorithm Based on Convolutional Neural Network 