Minimax Based Regulation of Change Detection Threshold in Video-Surveillance Systems

  • Franco Oberti
  • Fabrizio Granelli
  • Carlo S. Regazzoni
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 573)


Thanks to the increasing development of complex vision systems, it becomes strictly necessary to introduce quantitative performance evaluation methods. Such methods should make it possible both comparing results provided by different surveillance systems and selecting optimal parameters for each one, depending on the specific functionality of a system and on the particular characteristics of the monitored environment. In this contribution, it is shown that Receiver Operating Characteristics [1] (ROC) curves provide a well assessed tool that can be used for the above purpose. In literature ROC curves have been used for performance evaluation of image processing algorithms: in [2] for evaluation of edge detection algorithms and in [3] for evaluation of artificial neural networks for medical imaging.


False Alarm False Alarm Rate Receiver Operating Characteristic Curve False Alarm Probability Video Surveillance System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 2000

Authors and Affiliations

  • Franco Oberti
    • 1
  • Fabrizio Granelli
    • 1
  • Carlo S. Regazzoni
    • 1
  1. 1.Department of Biophysical and electronic EngineeringUniversity of GenoaGenovaItaly

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