A Fast Object Tracker Based on Integrated Multiple Features and Dynamic Learning Rate

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/mpe/volume-2018/5986062/figures/5986062.fig.003a.svgz" name="5986062.fig.003a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>The challenging situations of occlusion on the<i> Woman</i> sequence</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2018/5986062/figures/5986062.fig.003b.svgz" name="5986062.fig.003b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>The distribution of skewness on<i> Woman</i> sequence</td></tr></table>

<div>The analysis of skewness on<i> Woman</i> sequence.</div>

Mathematical Problems in Engineering

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Figure 3

Figure 3: A Fast Object Tracker Based on Integrated Multiple Features and Dynamic Learning Rate 