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PRODID:IEEE vTools.Events//EN
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DTSTART:20160327T030000
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DTSTART:20161030T020000
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BEGIN:VEVENT
DTSTAMP:20160711T204241Z
UID:F2D6A535-E5B6-11E7-833E-0050568D7F66
DTSTART;TZID=Europe/Warsaw:20160406T120000
DTEND;TZID=Europe/Warsaw:20160406T130000
DESCRIPTION:Image segmentation is one of crucial stages of video processing
  used for detection of pedestrians in infrared (IR)vision. A study of both
  passive (typically far IR) and active (typically near IR) technologies fo
 r IR visionand analysis of the state-of-the-art in information extraction 
 from IR images was presented. Moreover\, a deep testing of threecarefully 
 selected segmentation methods for far IR images show high effectiveness of
  all techniques with single pedestrians and high contrastto the background
 . In case of IR frames with low contrast (e.g. with many various human obj
 ects in a group of pedestrians)the methods based on local (intra-frame) ad
 aptation (e.g. theadaptive dual-thresholding method - ADT) operate much be
 tter than non-adaptive methods. A globaladaptation (e.g. in the Otsu metho
 d) helps to compensate variations of the frame intensity\, which occur fra
 me-by-frame. An extension of the ADT method was proposed\, which veryeffec
 tively (98 %) solves a common problem related to the non-uniformity of the
  IR radiation intensity upon one pedestrian.\n\nSpeaker(s): Karol Piniarsk
 i\, \n\nPoznan\, Wielkopolskie\, Poland
LOCATION:Poznan\, Wielkopolskie\, Poland
ORGANIZER:
SEQUENCE:0
SUMMARY:[Legacy Report] Adaptive image segmentationfor pedestrian detection
  in far infrared vision
URL;VALUE=URI:https://events.vtools.ieee.org/m/135360
X-ALT-DESC:Description: <br /><p>Image segmentation is one of crucial stage
 s of video processing used for detection of pedestrians in infrared (IR)vi
 sion. A study of both passive (typically far IR) and active (typically nea
 r IR) technologies for IR visionand analysis of the state-of-the-art in in
 formation extraction from IR images was presented. Moreover\, a deep testi
 ng of threecarefully selected segmentation methods for far IR images show 
 high effectiveness of all techniques with single pedestrians and high cont
 rastto the background. In case of IR frames with low contrast (e.g. with m
 any various human objects in a group of pedestrians)the methods based on l
 ocal (intra-frame) adaptation (e.g. theadaptive dual-thresholding method -
  ADT) operate much better than non-adaptive methods. A globaladaptation (e
 .g. in the Otsu method) helps to compensate variations of the frame intens
 ity\, which occur frame-by-frame. An extension of the ADT method was propo
 sed\, which veryeffectively (98 %) solves a common problem related to the 
 non-uniformity of the IR radiation intensity upon one pedestrian.</p>
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