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    <title>Motion-Tracking on Qualia Radiomics</title>
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    <lastBuildDate>Mon, 01 Feb 2021 12:36:33 -0500</lastBuildDate>
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      <title>Fourth place Winner on AI Tracks at Sea Challenge</title>
      <link>https://www.qradiomics.com/posts/2021-02-01-fourth-place-winner-on-ai-tracks-at-sea-challenge/</link>
      <pubDate>Mon, 01 Feb 2021 12:36:33 -0500</pubDate>
      <guid>https://www.qradiomics.com/posts/2021-02-01-fourth-place-winner-on-ai-tracks-at-sea-challenge/</guid>
      <description>&lt;p&gt;We won 4th place in the Artificial Intelligence (AI) Tracks at Sea Challenge. &lt;a href=&#34;https://www.challenge.gov/?challenge=ai-tracks-at-sea&#34;&gt;https://www.challenge.gov/?challenge=ai-tracks-at-sea&lt;/a&gt;&lt;br&gt;
This national competition is organized by the U.S. Navy.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;VSU TrojanOne&lt;/strong&gt; Team: Jose Diaz, Curtrell Trott, Advisor: Ju Wang, Wookjin Choi&lt;/p&gt;
&lt;p&gt;&lt;img loading=&#34;lazy&#34; src=&#34;https://www.qradiomics.com/posts/2021-02-01-fourth-place-winner-on-ai-tracks-at-sea-challenge/images/image.jpeg&#34;&gt;&lt;/p&gt;
&lt;p&gt;The $200,000 prize was distributed among five winning teams, which submitted full working solutions, and three runners-up, which submitted partial working solutions. The monetary prize will be awarded to the school the corresponding team attends:&lt;/p&gt;</description>
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      <title>Automatic motion tracking system for analysis of insect behavior</title>
      <link>https://www.qradiomics.com/posts/2020-11-17-automatic-motion-tracking-system-for-analysis-of-insect-behavior/</link>
      <pubDate>Tue, 17 Nov 2020 20:40:13 -0500</pubDate>
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      <description>&lt;p&gt;Darrin Gladman, Jehu Osegbe, Wookjin Choi*, and Joon Suk Lee &amp;ldquo;Automatic motion tracking system for analysis of insect behavior&amp;rdquo;, Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 115102W (21 August 2020); &lt;a href=&#34;https://doi.org/10.1117/12.2568804&#34;&gt;https://doi.org/10.1117/12.2568804&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;*Corresponding author&lt;/p&gt;
&lt;p&gt;&lt;img loading=&#34;lazy&#34; src=&#34;https://www.qradiomics.com/posts/2020-11-17-automatic-motion-tracking-system-for-analysis-of-insect-behavior/images/00289_psisdg11510_115102w_page_5_1.jpg&#34;&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Abstract&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We present a multi-object tracking system to track small insects such as ants and bees. Motion-based object tracking recognizes the movements of objects in videos using information extracted from the given video frames. We applied several computer vision techniques, such as blob detection and appearance matching, to track ants. Moreover, we discussed different object detection methodologies and investigated the various challenges of object detection, such as illumination variations and blob merge/split. The proposed system effectively tracked multiple objects in various environments.&lt;/p&gt;</description>
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