Resolving partial occlusions in crowded environments utilizing range data and video cameras

Dejan Arsić, Björn Schuller, Benedikt Hörnler, Gerhard Rigoll

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

5 Scopus citations

Abstract

Video surveillance systems are omnipresent in our daily life, but still suffer from some drawbacks, which hardens the integration of fully automated systems. Currently standards CCD sensors are used to monitor public and private spaces. These are not yet able to resolve revere occlusions in narrow environments. Therefore we suggest the integration of 3D sensors, in particular a photonic mixture device, into current frameworks, in order to support the reliable detection and segmentation in dense situations. We propose the use of basic techniques to segment persons in range data, to guarantee real-time processing capabilities. With a reliable foreground segmentation and the computation of depth gradients the segmentation performance will drastically rise.

Original languageEnglish
Title of host publicationDSP 2009:16th International Conference on Digital Signal Processing, Proceedings
DOIs
StatePublished - 2009
EventDSP 2009:16th International Conference on Digital Signal Processing - Santorini, Greece
Duration: 5 Jul 20097 Jul 2009

Publication series

NameDSP 2009: 16th International Conference on Digital Signal Processing, Proceedings

Conference

ConferenceDSP 2009:16th International Conference on Digital Signal Processing
Country/TerritoryGreece
CitySantorini
Period5/07/097/07/09

Keywords

  • Heterogeneous data fusion
  • Image segmentation
  • Object detection
  • PMD
  • Range data

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