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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Canada/Eastern
BEGIN:DAYLIGHT
DTSTART:20210314T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
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BEGIN:STANDARD
DTSTART:20201101T010000
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TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
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BEGIN:VEVENT
DTSTAMP:20210201T162528Z
UID:5D385ED4-E9B8-43D8-978D-60C74CA30F25
DTSTART;TZID=Canada/Eastern:20201127T100000
DTEND;TZID=Canada/Eastern:20201127T120000
DESCRIPTION:The workshop will focus on extracting images from multiple sour
 ces (webcam\, video\, ROS bag) and perform image processing to detect regi
 ons of high motion or change over a period. The workshop will also show ho
 w to stitch the multiple bird eye views from multiple cameras together to 
 form one image of the floor where the motion is detected. This workshop in
 cludes:\n\na) Extracting frames from a camera\, video or ROS bag and gener
 ating a image stream\n\nb) Stitching the multiple bird eye views and calib
 rating to create one 2D image of the floor\n\nc) Perform multiple image pr
 ocessing to extract motion\n\nd) Create a motion map on the generated imag
 e of the floor.\n\nSpeaker(s): Enas Tarawneh\, \n\nVirtual: https://events
 .vtools.ieee.org/m/245740
LOCATION:Virtual: https://events.vtools.ieee.org/m/245740
ORGANIZER:ayda.naserialiabadi@ryerson.ca
SEQUENCE:1
SUMMARY:Python Project-based Workhsop: How to track motion from bird eye mu
 ltiple camera perspectives 
URL;VALUE=URI:https://events.vtools.ieee.org/m/245740
X-ALT-DESC:Description: <br /><p>The workshop will focus on extracting imag
 es from multiple sources (webcam\, video\, ROS bag) and perform image proc
 essing to detect regions of high motion or change over a period. The works
 hop will also show how to stitch the multiple bird eye views from multiple
  cameras together to form one image of the floor where the motion is detec
 ted. This workshop includes:&nbsp\;</p>\n<p>a) Extracting frames from a ca
 mera\, video or ROS bag&nbsp\;and generating a image stream&nbsp\;</p>\n<p
 >b) Stitching the multiple bird eye views and calibrating to create one 2D
 &nbsp\;image of the floor&nbsp\;</p>\n<p>c) Perform multiple image process
 ing to extract motion&nbsp\;</p>\n<p>d) Create a motion map on the generat
 ed image of the floor.&nbsp\;</p>
END:VEVENT
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