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Human Action Recognition Week 9 - PowerPoint PPT Presentation


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Taylor Rassmann. Human Action Recognition Week 9. Hierarchical SVMs. Look at a confusion matrix of the UCF50 dataset Dollar Features Find the two most confused classes Train an SVM specifically on these two. Hierarchical SVMs.

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hierarchical svms
Hierarchical SVMs
  • Look at a confusion matrix of the UCF50 dataset
    • Dollar Features
  • Find the two most confused classes
  • Train an SVM specifically on these two
hierarchical svms1
Hierarchical SVMs
  • Retrain and test with one less label than the previous iteration
  • Repeat for multiple levels

50

48

2

hierarchical svms level 1
Hierarchical SVMs: Level 1
  • High jump = +8% improvement
  • Javelin throw = +7% improvement

High Jump Initial

59%

Javelin Throw Initial

50%

High Jump Final

67%

Javelin Throw Final

57%

hierarchical svms level 2
Hierarchical SVMs: Level 2
  • PICTURE
  • Biking = 0% improvement
  • Walking with dog = +4% improvement

Biking Initial

51%

Walking With Dog Initial

34%

Biking Final

51%

Walking With Dog Final

38%

hierarchical svms level 3
Hierarchical SVMs: Level 3
  • PICTURE
  • Kayaking = +4% improvement
  • Skiing = +3% improvement

Kayaking Initial

72%

Skiing Initial

60%

Kayaking Final

76%

Skiing Final

63%

hierarchical svms level 4
Hierarchical SVMs: Level 4
  • PICTURE
  • Basket Ball = +3% improvement
  • Tennis Swing = -1% improvement

Basket Ball Initial

41%

Tennis Swing Initial

64%

Basket Ball Final

44%

Tennis Swing Final

63%

hierarchical svms level 5
Hierarchical SVMs: Level 5
  • PICTURE
  • Nun chucks = 0% improvement
  • Yo-yo = +2% improvement

Nun Chucks Initial

48%

Yo-Yo Initial

73%

Nun Chucks Initial

48%

Yo-Yo Initial

75%

current work
Current Work
  • Continue with more levels of the hierarchical SVM
  • Instead of using the two most confused actions
    • Retrain with highest confused and highest accuracy