Action Recognition Based on Depth Motion Map and Hybrid Classifier

<table class="fixed-width table-group" id="tab4"><tr><td><table class="table"><colgroup><col style="width:5.38em"/><col style="width:8.01em"/><col style="width:5.99em"/></colgroup><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left"><b>method</b></td><td class="align_center"><b>recognition rate</b></td><td class="align_center"><b>test time(s)</b></td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">ELM</td><td class="align_center">92.0%</td><td class="align_center">0.004</td></tr><tr><td class="align_left">ELM-SRC</td><td class="align_center">96.0%</td><td class="align_center">16.52</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Experiment results of ELM and ELM-CRC.</div>

Mathematical Problems in Engineering

tab4

Table 4

Table 4: Action Recognition Based on Depth Motion Map and Hybrid Classifier 