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pranaava/Motion-Anomaly-Detection

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The folder contains the following documents:

  • Final Report for the research project

Jupyter notebooks have been provided for the following tasks:

  • Comapring Levenberg-Marquardt and Covariance Matrix Adaptation- Evolution Startegy for phase portrait classification.
  • Classification of phase portraits
  • Tracking critical points in phase portrait for motion anomalies
  • A linear algorithm implementation of the phase portrait classification
  • Experimenting the algorithm on the UMN crowd activity dataset(make sure to place the dataset in the exact folder mentioned within the code)
  • Motion anomaly detected by change in fit: alt text
  • Tracking critical points for motion anomalies: alt text
  • Motion anomaly detected by change in type of flow: alt text

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