<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462018000401077</article-id>
<article-id pub-id-type="doi">10.13053/cys-22-4-3080</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Pedestrian Detection and Tracking Using a Dynamic Vision Sensor]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ruelas]]></surname>
<given-names><![CDATA[Israel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Torres-Blanco]]></surname>
<given-names><![CDATA[Gustavo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ortega-Cisneros]]></surname>
<given-names><![CDATA[Susana]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Moya-Sánchez]]></surname>
<given-names><![CDATA[E. Ulises]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma de Guadalajara Computer Science Posgraduate Department ]]></institution>
<addr-line><![CDATA[ Jalisco]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Barcelona Supercomputing Center  ]]></institution>
<addr-line><![CDATA[Barcelona ]]></addr-line>
<country>Spain</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,CINVESTAV Electronic Design Laboratory ]]></institution>
<addr-line><![CDATA[Guadalajara ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2018</year>
</pub-date>
<volume>22</volume>
<numero>4</numero>
<fpage>1077</fpage>
<lpage>1083</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462018000401077&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462018000401077&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462018000401077&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Neuromorphic sensors such as the Dynamic Vision Sensor (DVS) emulate the behavior of the primary vision system. Its asynchronous behavior makes the data processing easier and faster due to the analysis is only in the active pixels. Pedestrian kinematics contains specific movement patterns feasible to be detected, like the angular movement of arms and feet. Some previous methodologies were focused on pedestrian detection based on the static shapes detection like cylinders or circles, however, they do not take into account the kinematic behavior of the body by itself. In this paper, we presented an algorithm inspired in K-means clustering and describes the analysis of the human kinematics based on DVS in order to detect and track pedestrians in a controlled environment.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Dynamic vision sensor]]></kwd>
<kwd lng="en"><![CDATA[pedestrian detection]]></kwd>
<kwd lng="en"><![CDATA[pedestrian tracking]]></kwd>
</kwd-group>
</article-meta>
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