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Pedestrian motion prediction using the Expectation Maximization Algorithm and Hidden Markov Models.

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A module to predict the motion of a tracked pedestrian.

It uses the Expectation Maximization Algorithm (E-M) to cluster a set of 2D trajectories and a Hidden Markov Model for filtering and predicting the state of the tracked pedestrian.

Requirements

  • python 2.7 or higher.
  • numpy 1.11 or higher.
  • scipy 0.17 or higher.
  • matplotlib 1.5.1 or higher.

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Pedestrian motion prediction using the Expectation Maximization Algorithm and Hidden Markov Models.

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