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		<id>https://www.scipedia.com/wd/index.php?action=history&amp;feed=atom&amp;title=Yu_et_al_2017a</id>
		<title>Yu et al 2017a - Revision history</title>
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		<updated>2026-04-21T14:20:25Z</updated>
		<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://www.scipedia.com/wd/index.php?title=Yu_et_al_2017a&amp;diff=173972&amp;oldid=prev</id>
		<title>Scipediacontent: Scipediacontent moved page Draft Content 791756926 to Yu et al 2017a</title>
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				<updated>2020-10-14T12:04:49Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_791756926&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 791756926&quot;&gt;Draft Content 791756926&lt;/a&gt; to &lt;a href=&quot;/public/Yu_et_al_2017a&quot; title=&quot;Yu et al 2017a&quot;&gt;Yu et al 2017a&lt;/a&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 12:04, 14 October 2020&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan='2' style='text-align: center;' lang='en'&gt;&lt;div class=&quot;mw-diff-empty&quot;&gt;(No difference)&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

	<entry>
		<id>https://www.scipedia.com/wd/index.php?title=Yu_et_al_2017a&amp;diff=173971&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  With the purpose of automatic detection of crowd patterns including abrupt and abnormal changes, a novel approach for extracting motion textures from dyna...&quot;</title>
		<link rel="alternate" type="text/html" href="https://www.scipedia.com/wd/index.php?title=Yu_et_al_2017a&amp;diff=173971&amp;oldid=prev"/>
				<updated>2020-10-14T12:04:46Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  With the purpose of automatic detection of crowd patterns including abrupt and abnormal changes, a novel approach for extracting motion textures from dyna...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
With the purpose of automatic detection of crowd patterns including abrupt and abnormal changes, a novel approach for extracting motion textures from dynamic Spatio-Temporal Volume (STV) blocks formulated by live video streams has been proposed. This paper starts from introducing the common approach for STV construction and corresponding Spatio-Temporal Texture (STT) extraction techniques. Next the crowd motion information contained within the random STT slices are evaluated based on the information entropy theory to cull the static background and noises occupying most of the STV spaces. A preprocessing step using Gabor filtering for improving the STT sampling efficiency and motion fidelity has been devised and tested. The technique has been applied on benchmarking video databases for proof-of-concept and performance evaluation. Preliminary results have shown encouraging outcomes and promising potentials for its real-world crowd monitoring and control applications.&lt;br /&gt;
&lt;br /&gt;
Document type: Part of book or chapter of book&lt;br /&gt;
&lt;br /&gt;
== Full document ==&lt;br /&gt;
&amp;lt;pdf&amp;gt;Media:Draft_Content_791756926-beopen456-1339-document.pdf&amp;lt;/pdf&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Original document ==&lt;br /&gt;
&lt;br /&gt;
The different versions of the original document can be found in:&lt;br /&gt;
&lt;br /&gt;
* [http://eprints.hud.ac.uk/id/eprint/33565/1/p_17.pdf http://eprints.hud.ac.uk/id/eprint/33565/1/p_17.pdf]&lt;br /&gt;
&lt;br /&gt;
* [http://shura.shu.ac.uk/18879/1/ICAC17-1.pdf http://shura.shu.ac.uk/18879/1/ICAC17-1.pdf]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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