1. Human Action Recognition from RGB-D Videos Oliver MacNeely YSP 2015

2. Background What is human action recognition? Computer vision Machine learning Applications

3. Datasets RGB data Depth data RGB data example Corresponding depth data

4. Data Preprocessing Bounding boxes Spatial and temporal normalization

5. Histogram Oriented Gradients What are HOGs? Feature Extraction

6. Binary Classifier Linear Support Vector Machine (SVM) LIBSVM

7. Deep Learning Machine learning Neural networks

8. Convolutional Neural Networks (CNNs) What is a CNN? ImageNet

9. Results ClassifierRGB Data AccuracyDepth Data AccuracyCombined Data Accuracy Linear SVM47.5%40%50% Convolutional Neural Network 44%*~~

10. Future Work More accurate classifiers Further-reaching applications

11. Acknowledgements Dr. Yu Kong Professor Raymond Fu Smile Lab Staff Clair Duggan, Maddy Leger, and Maureen Cabrera, YSP Coordinators

12. Questions?

13. Citations Figure 1. : http://pancamr.lecture.ub.ac.id/files/2012/02/action-recognition.jpghttp://pancamr.lecture.ub.ac.id/files/2012/02/action-recognition.jpg Figure 2. : http://www.wired.com/images_blogs/autopia/2012/11/EPFL-Facial-Recognition-Software.jpghttp://www.wired.com/images_blogs/autopia/2012/11/EPFL-Facial-Recognition-Software.jpg Figure 3. : https://helpx.adobe.com/premiere-pro/using/creating-changing-sequences/_jcr_content/main-pars/image_0.img.png/if_23.pnghttps://helpx.adobe.com/premiere-pro/using/creating-changing-sequences/_jcr_content/main-pars/image_0.img.png/if_23.png Figure 4. : http://www.vlfeat.org/demo/hog_features.jpghttp://www.vlfeat.org/demo/hog_features.jpg Figure 5. : http://cs.brown.edu/courses/cs143/2011/results/proj4/hangsu/img/HOG.pnghttp://cs.brown.edu/courses/cs143/2011/results/proj4/hangsu/img/HOG.png Figure 6. : http://remotesensing.spiedigitallibrary.org/article.aspx?articleid=1871069http://remotesensing.spiedigitallibrary.org/article.aspx?articleid=1871069 Figure 7 : http://www.mblondel.org/images/svm_linear.pnghttp://www.mblondel.org/images/svm_linear.png Figure 8. : http://colah.github.io/posts/2014-07-Conv-Nets-Modular/img/Conv2-9x5-Conv2Conv2.pnghttp://colah.github.io/posts/2014-07-Conv-Nets-Modular/img/Conv2-9x5-Conv2Conv2.png Figure 9. : http://deeplearning.net/tutorial/_images/mylenet.pnghttp://deeplearning.net/tutorial/_images/mylenet.png Figure 10. : http://www.codeproject.com/KB/recipes/477689/jmsl-7.pnghttp://www.codeproject.com/KB/recipes/477689/jmsl-7.png Figure 11: http://i.imgur.com/9JEAlxM.jpghttp://i.imgur.com/9JEAlxM.jpg