Recent Advances in Online Object Tracking

Recent Advances in Online Object Tracking

UCF CRCV via YouTube Direct link

Tracking Algorithms

28 of 34

28 of 34

Tracking Algorithms

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Recent Advances in Online Object Tracking

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 Yosemite National Park
  3. 3 Lake Tahoe
  4. 4 Lake Mono and Parker Lake
  5. 5 Tracking Approaches
  6. 6 Related Work
  7. 7 Sparsity-based Classifier
  8. 8 Training Data
  9. 9 Discriminative Model: Summary
  10. 10 Occlusion Handling
  11. 11 New Histogram
  12. 12 Collaborative Model
  13. 13 Qualitative Evaluation
  14. 14 Quantitative Evaluation
  15. 15 Concluding Remarks
  16. 16 Outline
  17. 17 Tracking by Detection
  18. 18 Algorithm Overview
  19. 19 Two Components
  20. 20 Revisit MILTracker
  21. 21 Constructing Random Matrix R
  22. 22 Compressive Tracking/Sensing?
  23. 23 JL vs. RIP
  24. 24 Gaussian PDF Assumption
  25. 25 Experimental Results
  26. 26 Motivation
  27. 27 Evaluation Issues
  28. 28 Tracking Algorithms
  29. 29 Evaluated Algorithms
  30. 30 Evaluation Dataset
  31. 31 Evaluation Methodology
  32. 32 Temporal Robustness Evaluation
  33. 33 One Pass Evaluation
  34. 34 Low Resolution

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.