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Geolocating Video with Neil Gealy: Cluster-Based Trajectory Refinement

Explore how Neil Gealy refines trajectories in geolocated videos using clustering methods. Discover the ground truth versus calculated trajectory accuracy and the next steps for testing and frame selection.

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Geolocating Video with Neil Gealy: Cluster-Based Trajectory Refinement

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  1. Geolocating Video Neil Gealy

  2. Show video

  3. Ground Truth (red)Query Frames (blue)

  4. Removed bad matches by Clustering • Chose a radius and a threshold • Checked to see how many other points were located within the radius and compared it to the threshold • Did consecutive clustering in this manner • First with a high radius and threshold to find the large cluster • Second with low radius and threshold to refine the trajectory

  5. Ground Truth

  6. Calculated Trajectory w/ Clustering

  7. Ground Truth (green)Calculated Trajectory (red)

  8. Next Steps • Complete testing on higher quality videos • Key Frame selection to get a consistent frame sampling • Currently if sampling a certain frames per second, we get large groups of points when the person or vehicle is stationary

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