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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Europe/Warsaw
BEGIN:DAYLIGHT
DTSTART:20170326T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
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DTSTART:20161030T020000
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TZOFFSETTO:+0100
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BEGIN:VEVENT
DTSTAMP:20170126T193500Z
UID:F35F9158-E5B6-11E7-833E-0050568D7F66
DTSTART;TZID=Europe/Warsaw:20161102T120000
DTEND;TZID=Europe/Warsaw:20161102T130000
DESCRIPTION:The comparison of a recognition of important details of threat 
 events by untrained and trained observers in typical 2D and 3D monitoring 
 situations is presented. The real 3D cameras would allow to easily recogni
 ze the details of the situations by the operator. For example\, counting p
 eople or estimating the distances between objects will be faster and more 
 exact. These advantages of stereovision visualization are confirmed by the
  results of the authors’ experiments.\n\nPoznan\, Wielkopolskie\, Poland
LOCATION:Poznan\, Wielkopolskie\, Poland
ORGANIZER:adam.dabrowski@put.poznan.pl
SEQUENCE:0
SUMMARY:[Legacy Report] Recognition of event details in 3D video monitoring
URL;VALUE=URI:https://events.vtools.ieee.org/m/143652
X-ALT-DESC:Description: <br /><p>The comparison of a recognition of importa
 nt details of threat events by untrained and trained observers in typical 
 2D and 3D monitoring situations is presented. The real 3D cameras would al
 low to easily recognize the details of the situations by the operator. For
  example\, counting people or estimating the distances between objects wil
 l be faster and more exact. These advantages of stereovision visualization
  are confirmed by the results of the authors&rsquo\; experiments.</p>
END:VEVENT
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