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    <title>Activity on ViCoS Lab</title>
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      <title>A Trajectory-Based Analysis of Coordinated Team Activity in a Basketball Game</title>
      <link>/publications/perse2009a/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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      <title>Analysis of multi-agent activity using Petri nets</title>
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      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;This paper presents the use of Place/Transition Petri Nets (PNs) for the recognition and evaluation of complex multi-agent activities. The PNs were built automatically from the activity templates that are routinely used by experts to encode domain-specific knowledge. The PNs were built in such a way that they encoded the complex temporal relations between the individual activity actions. We extended the original PN formalism to handle the propagation of evidence using net tokens. The evaluation of the spatial and temporal properties of the actions was carried out using trajectory-based action detectors and probabilistic models of the action durations. The presented approach was evaluated using several examples of real basketball activities. The obtained experimental results suggest that this approach can be used to determine the type of activity that a team has performed as well as the stage at which the activity ended.&lt;/p&gt;</description>
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      <title>Histograms of optical flow for efficient representation of body motion</title>
      <link>/publications/pers2010histograms/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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