1. An ANN Approach to Identify if Driver is Wearing Safety Belts Hanwen Chen 12/9/2013

2. Image Samples Both Negative and Positive samples; Same angle, same resolution, pre-processed. Feature Extraction SIFT: Scale-invariant Feature Transform; HOG: Histogram of Oriented Gradients. Classifier (SVM) Support Vector Machine. ideaworkaccomplishment

3. Image Samples: Positive Samples Negative Samples ideaworkaccomplishment

4. Scale-invariant Feature Transform ideaworkaccomplishment

5. Histogram of Oriented Gradients ideaworkaccomplishment

6. Support Vector Machine We are familiar with that! ideaworkaccomplishment

7. Collect Samples Feature Extraction VLFeat Open-source Library http://www.vlfeat.org/ Classify Statistics Toolbox (Matlab R2013b) Neuron Network Toolbox (Matlab R2013b) ideaworkaccomplishment

8. With SIFT feature: Confusion matrix: Miss rate: 30% With HOG feature: Confusion Matrix: Miss rate: 30% ideaworkaccomplishment 55 19 64 010

9. Thank you!