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haar-cascade-classifier

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System detects vehicle density at traffic junctions and allots the required time to traffic lights for vehicle passage dynamically. Classifier is trained using positive and negative images. Further, Adaptive Boosting is used to combine a number of weak classifiers into a strong one. The outcome of AdaBoost is Trained Cascade, which is finally us…

  • Updated Jan 14, 2018
  • Java

Emotions are reflected from speech, hand and gestures of the body and through facial expressions. Hence extracting and understanding of emotion has a high importance of the interaction between human and machine communication. Hence, this project basically focuses on predicting human emotions using facial recognition.

  • Updated Jun 29, 2018
  • Python

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