A Probabilistic Model for Camera Zoom Detection

  • Authors:
  • Rong Jin;Yanjun Qi;Alexander Hauptmann

  • Affiliations:
  • -;-;-

  • Venue:
  • ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
  • Year:
  • 2002

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Abstract

Camera motion detection is essential for automated video analysis. We propose a new probabilistic model for detecting zoom-in/zoom-out operations. The model uses EM to estimate the probability of a zoom versus a non-zoom operation from standard MPEG motion vectors.Traditional methods usually set an empirical threshold after deriving parameters proportional to zoom, pan, rotate and tilt. In contrast, our probabilistic model has a solid probabilistic foundation and a clear, simple probability threshold. Experiments show that this probabilisticmodel significantly out-performs a baseline parametric method for zoom detection in both precision and recall.