Nonnegative Tensor-Based Linear Dynamical Systems for Recognizing Human Action from 3D Skeletons

<table class="fixed-width table-group" id="tab9"><tr><td><table class="table"><colgroup><col style="width:8.31em"/><col style="width:5.30em"/></colgroup><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Dataset </td><td class="align_center">Run Time</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">MSR-Action3D</td><td class="align_center">23374s</td></tr><tr><td class="align_left" colspan="2"><hr/></td></tr><tr><td class="align_left">UTKinect-Action</td><td class="align_center">21157s</td></tr><tr><td class="align_left" colspan="2"><hr/></td></tr><tr><td class="align_left">G3D-Gaming</td><td class="align_center">25189s</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The run time on the three datasets.</div>

Mathematical Problems in Engineering

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Table 9

Table 9: Nonnegative Tensor-Based Linear Dynamical Systems for Recognizing Human Action from 3D Skeletons 