Time Dependent On-line Boosting for Robust Background Modeling

  title={Time Dependent On-line Boosting for Robust Background Modeling},
  author={Helmut Grabner and Christian Leistner and Horst Bischof},
In modern video surveillance systems change and outlier detection is of highest interest. Most of these systems are based on standard pixel-by-pixel background modeling approaches. In this paper, we propose a novel robust blockbased background model that is suitable for outlier detection using an extension to on-line boosting for feature selection. In order to be robust our system incorporates several novelties for previous proposed on-line boosting algorithms and classifier-based background… CONTINUE READING