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    <meta name="description" content="Partnerships and Cooperations - National Initiatives"/>
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    <meta name="dc.creator" content="Ivan Laptev"/>
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    <meta name="dc.date" content="(SCHEME=ISO8601) 2018-01"/>
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      <div class="TdmEntry">Overall Objectives<ul><li><a href="./uid3.html">Statement</a></li></ul></div>
      <div class="TdmEntry">Research Program<ul><li><a href="uid5.html&#10;&#9;&#9;  ">3D object and scene modeling, analysis,
and retrieval</a></li><li><a href="uid7.html&#10;&#9;&#9;  ">Category-level object and scene recognition</a></li><li><a href="uid8.html&#10;&#9;&#9;  ">Image restoration, manipulation and enhancement</a></li><li><a href="uid9.html&#10;&#9;&#9;  ">Human activity capture and classification</a></li></ul></div>
      <div class="TdmEntry">Application Domains<ul><li><a href="uid13.html&#10;&#9;&#9;  ">Introduction</a></li><li><a href="uid14.html&#10;&#9;&#9;  ">Quantitative image analysis in science and humanities</a></li><li><a href="uid15.html&#10;&#9;&#9;  ">Video Annotation, Interpretation, and Retrieval</a></li></ul></div>
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      <div class="TdmEntry">Partnerships and Cooperations<ul><li class="tdmActPage"><a href="uid104.html&#10;&#9;&#9;  ">National Initiatives</a></li><li><a href="uid106.html&#10;&#9;&#9;  ">European Initiatives</a></li><li><a href="uid109.html&#10;&#9;&#9;  ">International Initiatives</a></li><li><a href="uid112.html&#10;&#9;&#9;  ">International Research Visitors</a></li></ul></div>
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	    Raweb 
	    2018</a> | <a href="http://www.inria.fr/en/teams/willow">Presentation of the Project-Team WILLOW</a> | <a href="http://www.di.ens.fr/willow">WILLOW Web Site
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        <h2>Section: 
      Partnerships and Cooperations</h2>
        <h3 class="titre3">National Initiatives</h3>
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        <h4 class="titre4">DGA - RAPID project DRAAF</h4>
        <p class="participants"><span class="part">Participant</span> :
	Ivan Laptev.</p>
        <p>DGA DRAAF is a two-year collaborative effort with University of Caen (F.
Jurie) and the industrial partner EVITECH (P. Bernas) focused on
modelling and recognition of violent behaviour in surveillance videos.
The project aims to develop image recognition models and algorithms to
automatically detect weapons, gestures and actions using recent advances
in computer vision and deep learning to provide an affordable real-time
solution reducing effects of threats in public places.</p>
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