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Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection Peter Barnum March 6, 2006 Advanced Perception

Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

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Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection. Peter Barnum March 6, 2006 Advanced Perception. Boosting 101. 2 Classes of Apples. Slides from boosting.org. Strong Classifiers. Strong Classifiers. Adaboost: Example. - PowerPoint PPT Presentation

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Page 1: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Boosting DemoObject Detection Using the Statistics of Parts

andRobust Real-time Object Detection

Peter Barnum

March 6, 2006

Advanced Perception

Page 2: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Boosting 101

Page 3: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

2 Classes of Apples

Slides from boosting.org

Page 4: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Strong Classifiers

Page 5: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Strong Classifiers

Page 6: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Adaboost: Example

Slides from boosting.org

Page 7: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

1st Hypothesis

Slides from boosting.org

Page 8: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Recomputing Weighting

Slides from boosting.org

Page 9: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

2nd Hypothesis

Slides from boosting.org

Page 10: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Recomputing Weighting

Slides from boosting.org

Page 11: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

3rd Hypothesis and Reweighting

Slides from boosting.org

Page 12: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

4th Hypothesis

Slides from boosting.org

Page 13: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Combination of Hypotheses

Slides from boosting.org

Page 14: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Decision Surface

Slides from boosting.org

Page 15: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Decision Surface

Slides from boosting.org

Page 16: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Demo

Classification Demo

http://www.cs.technion.ac.il/~rani/LocBoost/

Uses the Weka Java machine learning package

http://sourceforge.net/projects/weka/

Page 17: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Face Detection

Page 18: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Eigenfaces (In 10 Seconds)

Images from DeCoro

Page 19: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Schneiderman & Kanade Eigenfaces Viola & Jones

Page 20: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Schneiderman & Kanade Viola & Jones

Page 21: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Schneiderman & Kanade Viola & Jones

Page 22: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Schneiderman & Kanade Viola & Jones

Page 23: Boosting Demo Object Detection Using the Statistics of Parts and Robust Real-time Object Detection

Outtakes