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PRODID:IEEE vTools.Events//EN
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BEGIN:DAYLIGHT
DTSTART:20180325T030000
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TZOFFSETTO:+0200
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DTSTART:20171029T020000
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BEGIN:VEVENT
DTSTAMP:20190214T200808Z
UID:04B448BE-AC9E-4D6B-9560-23567FC76180
DTSTART;TZID=CET:20180110T120000
DTEND;TZID=CET:20180110T133000
DESCRIPTION:This presentations shows the solutions for crowd density estima
 tion. In terms of the methods used\, the solutions can be divided into fiv
 e categories: pixel-based approaches\, texture analysis\, appearance-based
  approaches\, points-of-interest grouping\, and 3D reconstruction. Most of
  the solutions estimate only the density of the whole crowd present in the
  studied scene. Implementations that examine also the distribution of peop
 le in the scene (i.e. the studied area) are considerably rare. In this cas
 e\, it is not only necessary to estimate the density of the crowd\, but al
 so to determine how it varies in different areas of the studied scene.\n\n
 Speaker(s): Marianna Parzych\, \n\nRoom: 230\, Bldg: Centre of Mechatronic
 s\, Biomechanics and Nanoengineering\, Poznan University of Technology\, P
 oznan\, Wielkopolskie\, Poland
LOCATION:Room: 230\, Bldg: Centre of Mechatronics\, Biomechanics and Nanoen
 gineering\, Poznan University of Technology\, Poznan\, Wielkopolskie\, Pol
 and
ORGANIZER:tomasz.marciniak@put.poznan.pl
SEQUENCE:0
SUMMARY:Crowd density estimation methods
URL;VALUE=URI:https://events.vtools.ieee.org/m/192633
X-ALT-DESC:Description: <br /><p>This presentations shows the solutions for
  crowd density estimation. In terms of the methods used\, the solutions ca
 n be divided into five categories: pixel-based approaches\, texture analys
 is\, appearance-based approaches\, points-of-interest grouping\, and 3D re
 construction. Most of the solutions estimate only the density of the whole
  crowd present in the studied scene. Implementations that examine also the
  distribution of people in the scene (i.e. the studied area) are considera
 bly rare. In this case\, it is not only necessary to estimate the density 
 of the crowd\, but also to determine how it varies in different areas of t
 he studied scene.</p>
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