ML Anthology

Real-Time Foreground Segmentation via Range and Color Imaging

Ryan Crabb, Colin Tracey, Akshaya Puranik, James Davis
CVPRW 2008 pp. 1-5
doi:10.1109/CVPRW.2008.4563170 /cvprw/2008/crabb2008cvprw-realtime/

Abstract

This paper describes a real-time method for foreground/background segmentation of a color video sequence based primarily on range data of a time-of-flight sensor. This method uses depth information of a TOF-sensor paired with a high resolution color video camera to efficiently segment foreground from background in a two-step process. First a trimap is produced using only range data: areas are located in each frame that have a high probability of being background or foreground, respectively. Pixels which cannot be definitively classified as foreground or background, typically about 1-2% of the frame, are assigned alpha-matte values using a cross bilateral filtering, applied directly to an estimate of the alpha-matte.

CVPRW Semantic Scholar

Cite

Text

Crabb et al. "Real-Time Foreground Segmentation via Range and Color Imaging." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4563170

Markdown

[Crabb et al. "Real-Time Foreground Segmentation via Range and Color Imaging." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/crabb2008cvprw-realtime/) doi:10.1109/CVPRW.2008.4563170

BibTeX

@inproceedings{crabb2008cvprw-realtime,
  title     = {{Real-Time Foreground Segmentation via Range and Color Imaging}},
  author    = {Crabb, Ryan and Tracey, Colin and Puranik, Akshaya and Davis, James},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2008},
  pages     = {1-5},
  doi       = {10.1109/CVPRW.2008.4563170},
  url       = {https://mlanthology.org/cvprw/2008/crabb2008cvprw-realtime/}
}