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