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Crowd Density Estimation Using Eulerian Particle D ynamics Weeks 9 & 10

Crowd Density Estimation Using Eulerian Particle D ynamics Weeks 9 & 10. Paul Finkel UCF Computer Vision REU 2012 7/24/12. Read Papers to Find Algorithm for Counting. Read papers discussing crowd density estimation Not good for highly dense crowds Occlusion Segmentation.

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Crowd Density Estimation Using Eulerian Particle D ynamics Weeks 9 & 10

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  1. Crowd Density Estimation Using EulerianParticle DynamicsWeeks 9 & 10 Paul Finkel UCF Computer Vision REU 2012 7/24/12

  2. Read Papers to Find Algorithm for Counting • Read papers discussing crowd density estimation • Not good for highly dense crowds • Occlusion • Segmentation

  3. Read Papers to Find Algorithm for Counting • Privacy Preserving Crowd Monitoring: Counting People without People Models or Tracking (Antoni B. Chan, Zhang-Sheng John Liang, NunoVasconcelos, CVPR 2008) • Preserves privacy • Specifies features of regions that are used to calculate density

  4. Video 1

  5. Correlation, Video 1

  6. Motion Boundaries, Video 1, Manual

  7. Motion Boundaries, Video 1, Automatic

  8. Masks, Video 1

  9. Extracted Regions, Video 1

  10. Video 2

  11. Correlation, Video 2

  12. Motion Boundaries, Video 2, Manual

  13. Motion Boundaries, Video 2, Automatic

  14. Masks, Video 2

  15. Extracted Regions, Video 2

  16. Feature Extraction • Segment features (area, perimeter, perimeter edge orientation, perimeter-area ratio) • Internal edge features (total edge pixels, edge orientation) • Texture features

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