Improved image segmentation using photonic mixer devices

Frank Wallhoff, Martin Ruß, Gerhard Rigoll, Johann Göbel, Hermann Diehl

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Aiming at improving image segmentation and extending regular computer vision algorithms an image sensor, acquiring additional depth information is deployed. The novel Photonic Mixer Device (PMD) technology will be summarized, by which it becomes possible to measure the observed object's distance to the camera. Motivated by expanding and making existing image processing and segmentation algorithms more robust, the additional depth information is overlapped with the image map gained by a regular camera system. Due to the fact of the used cameras are displaced and have different image resolutions, a sophisticated calibration algorithm will be introduced. By applying improved algorithms to applications, such as people counting, gesture recognition, and barrier detection its effectiveness will be shown.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
PagesVI53-VI56
DOIs
StatePublished - 2006
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: 16 Sep 200719 Sep 2007

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume6
ISSN (Print)1522-4880

Conference

Conference14th IEEE International Conference on Image Processing, ICIP 2007
Country/TerritoryUnited States
CitySan Antonio, TX
Period16/09/0719/09/07

Keywords

  • 3D surveillance
  • Barrier detection
  • Computer vision
  • Gesture recognition
  • People counting
  • Photonic mixer device
  • Segmentation

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