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Usage of gait information to establish identity of a person in traffic cameras

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Gaitoraid (under development)

Join the chat at https://gitter.im/sgang007/gaitoraid

Usage of gait information to establish identity of a person in traffic cameras. Re-identification of persons across multiple cameras using their gait information.

#Testing out our work:

  1. Clone this repository on your desktop
  2. Download the MoBo database from the official CMU website .
  3. Make a folder called Mobo and extract the archive called moboBgSub.tgz in this directory
  4. Open MATLAB or Octave and browse to the root of this repository.
  5. Run the script centroid_extraction.m to get clustered centroids of all images in fast_walk pose.
  6. Form the feature vectors by taking the abcissa/ordinates of each of the 10 centroids.
  7. Use the net.m script to train the Nonlinear autoregrssive neural network on the set of observations.

Note: A seperate network to train each of the vectors is more advisable rather than taking a matrix of all centroids and its trend in the timestep.

TODO:

  • Image clustering to get positions of head, torso and 10 other key features.
  • Organizing the clusters and optimizing it so that the clusters represnt constant classes in all images
  • Time series analysis on the cluster centroids to observe lag in data
  • Seperate trend, seasonality and stochasticity of the data
  • NAR based Neural network to train on the time series
  • Predict based on the trained neural network
  • Test results plotted in performance curves
  • Develop dynamic kernel using the time series estimates.
  • Calculate simmalirty score using p-values and check if hypothesis is true.

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