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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
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    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
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      <title>IMPROVED ILLUMINATION ASSESSMENT FOR VISION-BASED TRAFFIC MONITORING</title>
      <link>https://trid.trb.org/View/495686</link>
      <description><![CDATA[This paper presents methods for determining parameter values or algorithms for vision systems that must operate autonomously over varying environmental conditions.  It looks at measures for determining levels of visibility, contrast, and shadow presentation. The methods are applied in the domain of traffic monitoring systems. Performance data for 34 representative installations are provided including an improved algorithm for determining whether a scene is well-lit or not.]]></description>
      <pubDate>Wed, 17 Nov 1999 00:00:00 GMT</pubDate>
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      <title>T/SUP 3/WT : TRACKING TURNING TRUCKS WITH TRAILERS</title>
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      <description><![CDATA[This paper describes a system for model-based tracking of road vehicles in digitized video sequences of traffic scenes.  The feasibility of this approach is demonstrated by the evaluation of three image sequences with different truck-and-trailer configurations recorded at various inner-city  road intersections.]]></description>
      <pubDate>Wed, 17 Nov 1999 00:00:00 GMT</pubDate>
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      <title>VISUAL SURVEILLANCE FOR MOVING VEHICLES</title>
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      <description><![CDATA[This paper describes a vision system for locating, recognizing, and tracking multiple vehicles, using a monocular camera mounted on a moving vehicle.  3D model-based techniques are employed to obtain detailed information about vehicle movements.  Once the vehicles are detected and identified, they are tracked using dynamic filtering. This information about 3D vehicle movement can then be applied to collision avoidance systems.]]></description>
      <pubDate>Wed, 17 Nov 1999 00:00:00 GMT</pubDate>
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      <title>ATTENTIONAL CONTROL FOR VISUAL SURVEILLANCE</title>
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      <description><![CDATA[This paper describes a framework for attentional control.  It then focuses on the HIVIS-WATCHER implementation, a system that uses a separation of simple and complex operators.  For illustration, the behavioral interaction used is overtaking which involves aspects of the heading, speed and relative position.  Emphasis is on the need for full integration of early visual processing and object recognition with a high-level behavioral interpretation system.]]></description>
      <pubDate>Wed, 17 Nov 1999 00:00:00 GMT</pubDate>
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