Detection and Recognition of Abnormal Running Behavior in Surveillance Video

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="296407.fig.006a" src="https://static.hindawi.com/articles/mpe/volume-2012/296407/figures/296407.fig.006a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>The threshold <svg height="15.4" id="M99" style="vertical-align:-3.39064pt" version="1.1" viewbox="0 0 30.725 15.4" width="30.725" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg></td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="296407.fig.006b" src="https://static.hindawi.com/articles/mpe/volume-2012/296407/figures/296407.fig.006b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>The threshold AMIN</td></tr></table></td></tr></table>

<table>The detection of performance at different threshold values.</table>

Mathematical Problems in Engineering

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Figure 6

Figure 6: Detection and Recognition of Abnormal Running Behavior in Surveillance Video 