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International Journal of Computer Vision

, Volume 37, Issue 2, pp 209–215 | Cite as

Statistical Models of Object Interaction

  • R.J. Morris
  • D.C. Hogg
Article

Abstract

We present a method for assessing the likelihood of a trajectory of an object through a scene consisting of a number of other objects. The closest points on the trajectory to the other objects are chosen as landmark points and at each landmark we calculate the probability of the interaction based on the speed and distance. Sequences of such probabilities are then sorted in increasing order. Finally a weighted sum of the first few elements in this weighted list is used to classify trajectories in a supervised learning framework.

behaviour modelling object interactions landmark data 

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Copyright information

© Kluwer Academic Publishers 2000

Authors and Affiliations

  • R.J. Morris
    • 1
  • D.C. Hogg
    • 2
  1. 1.Department of StatisticsUniversity of LeedsEngland
  2. 2.School of Computer StudiesUniversity of LeedsEngland

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