Features Size

Features used in the literature are computed on entities of different size:

• • Pixel

  • Keypoint (2 papers)

  • Superpixel (13 papers)

  • Block (2 papers)

  • Cluster (4 papers)

  • Region (9 papers)

  • Brick (5 papers)

  • Patch (4 papers)

  • Semantic (6 papers)

Author: Thierry BOUWMANS, Associate Professor, Lab. MIA, Univ. Rochelle, France.

Fair Use Policy

As this website gives many information that come from my research, please cite at least my following survey paper:

T. Bouwmans, “Traditional and Recent Approaches in Background Modeling for Foreground Detection: An Overview”, Computer Science Review, 2014. [pdf]

T. Bouwmans, E. Zahzah, “Robust PCA via Principal Component Pursuit: A Review for a Comparative Evaluation in Video Surveillance”, Special Issue on Background Models Challenge, Computer Vision and Image Understanding, CVIU 2014, Volume 122, pages 22–34, May 2014. [pdf]

T. Bouwmans, "Recent Advanced Statistical Background Modeling for Foreground Detection: A Systematic Survey", Recent Patents on Computer Science, Volume 4, No. 3, pages147-176, September 2011. [pdf]

Note: My publications are available on Academia, Research Gate, Researchr, ORCID and Publication List.