• DocumentCode
    2353563
  • Title

    The systematic design and analysis cycle of a vision system: a case study in video surveillance

  • Author

    Greiffenhagen, Michael ; Ramesh, Visvanathan ; Niemann, Heinrich

  • Author_Institution
    Imaging & Visualization Dept., Siemens Corp. Res. Inc., Princeton, NJ, USA
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Abstract
    As computer vision systems are increasingly developed and tested in the real-world, there is a significant need to formalize the process of system design and analysis so that engineers can rapidly design, test, and deploy vision systems for real-world applications. Our objective in this paper is to analyze the system design, analysis, and refinement cycle through a case study involving the systematic engineering of a dual-camera video surveillance system for people detection and zooming. We illustrate how an existing system designed and analyzed by following rigorous systematic engineering principles can be extended to relax the system operating conditions with minimal re-design and analysis efforts. The key conclusion is that by choosing appropriate modules and suitable statistical representations, we are able to re-use existing system design and performance analysis results.
  • Keywords
    computer vision; systems analysis; computer vision; people detection; real-world applications; refinement; system design; systematic engineering; video surveillance system; Application software; Computer aided software engineering; Computer vision; Design engineering; Machine vision; Performance analysis; System analysis and design; System testing; Systems engineering and theory; Video surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-1272-0
  • Type

    conf

  • DOI
    10.1109/CVPR.2001.991033
  • Filename
    991033