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Fast multi-camera reconstruction and surveillance with human tracking and optimized camera configurations
Antje Ober-Gecks , Maria Hänel , Dominik Henrich , Tobias Werner

Abstract (english)
Human-robot cooperation and coexistence requires robust surveillance. Our system creates a visual hull as volume approximation of humans within the work cell from images of multiple static color cameras. We present a fast, exact, and conservative reconstruction from high-resolution input data and apply temporal filtering after the reconstruction to address detection failure of the cameras. Furthermore, we avoid incorrect placement of cameras by automatically optimizing the camera positions. All processing steps handle occluding obstacles.

Publication data

Year: 2014
Publication date: 02. June 2014
Source: 45th International Symposium on Robotics (ISR) and 8th German Conference on Robotics (ROBOTIK)
Project: SIMERO
Keywords (deutsch): Robotik , Sicherheit
Keywords (english): off-line programming , on-line algorithms , optimization methods , simulation , visual hull
Referrer: http://www.ai3.uni-bayreuth.de/resypub/?mode=pub_show&pub_ref=ober2014a

BibTeX

@ARTICLE{ober2014a,
  TITLE             = "Fast multi-camera reconstruction and surveillance with human tracking and optimized camera configurations",
  AUTHOR            = "Ober-Gecks, Antje and Hänel, Maria and Henrich, Dominik and Werner, Tobias",
  YEAR              = "2014",
  JOURNAL           = "45th International Symposium on Robotics (ISR) and 8th German Conference on Robotics (ROBOTIK)",
  HOWPUBLISHED      = "\url{http://www.ai3.uni-bayreuth.de/resypub/?mode=pub_show&pub_ref=ober2014a}",
}

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ober2014a.Fast.multicamera.reconstruction.and.surveillance.with.human.tracking.and.optimized.camera.configurations.pdf   3.4M   deutsch   PDF   download preprint


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