Real Time Implementations

Background subtraction are generally made in the context of real-time application on common PC or on smart embedded cameras. So, the computation time and memory requirement need to be reduced as possible. Real-time implementations focus mainly on the following issues:

• • GPU Implementations (42 papers)

  • Embedded Implementations (38 papers)

  • Architecture Implementations (53 papers)

  • Parallel Implementations (9 papers)

  • Quantum Computing (1 paper)

  • Near-sensor Implementations (1 paper) 

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

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

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, ResearchGate, Researchr, ORCID and PublicationList.