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An ANN Approach to Identify if Driver is Wearing S afety B elts

An ANN Approach to Identify if Driver is Wearing S afety B elts. Hanwen Chen 12/9/2013. 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.

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An ANN Approach to Identify if Driver is Wearing S afety B elts

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  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.

  3. Image Samples: • Positive Samples • Negative Samples

  4. Scale-invariant Feature Transform

  5. Histogram of Oriented Gradients

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

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

  8. With SIFT feature: • Confusion matrix: • Miss rate: 30% • With HOG feature: • Confusion Matrix: • Miss rate: 30%

  9. Thank you!

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