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
Link To Document :
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