Person Re-Identification and Tracking in Multiple Non-Overlapping Cameras - Keynote

Person Re-Identification and Tracking in Multiple Non-Overlapping Cameras - Keynote

UCF CRCV via YouTube Direct link

Intro

1 of 25

1 of 25

Intro

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Person Re-Identification and Tracking in Multiple Non-Overlapping Cameras - Keynote

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  1. 1 Intro
  2. 2 Challenges
  3. 3 Person Classification Network
  4. 4 SPREID - Human Semantic Parsing
  5. 5 Triplet Loss Based Network
  6. 6 Quadruplet Loss Based Network
  7. 7 Diffusion Based Network
  8. 8 DCDS Based Network
  9. 9 Pipeline
  10. 10 Dominant Sets Clustering
  11. 11 Constrained Dominant Sets (CDS)
  12. 12 Auxiliary Net
  13. 13 At Testing
  14. 14 Constraint Expansion
  15. 15 Different Camera Configurations For Tracking
  16. 16 Multiple Fixed & Overlapping Cameras Tracking
  17. 17 Tracking Objects Across Multiple Moving Cameras
  18. 18 Multiple Camera Tracking
  19. 19 Our Approach
  20. 20 Second Layer (Track Generation)
  21. 21 Cross Camera Track Association
  22. 22 Camera-1 as a Constraint
  23. 23 Track Refinement Constraints
  24. 24 Experimental Results Multiple Cameras
  25. 25 Summary

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