Update README.md

Author: Tony Emelyanov

README.md

@@ -1,2 +1,25 @@
 # CarEye
-The simplest ADAS that detects and classifies road signs from the camera's video stream in real time
+The simplest ADAS that detects and classifies road signs from the camera's video stream in real-time.
+
+#### Description:
+Cascade classifiers (two classifiers: for circular and for triangular and rectangular traffic signs) trained on LBP-features is used to detect road signs. The detected road signs are then filtered by the linear binary SVM-classifier (also two classifiers: for circular and for triangular and rectangular traffic signs) trained on HOG-features. Finally, the common multiclass SVM-classifier (one-vs-all scheme, with RBF kernel) learned on HOG-features predict classes of detected traffic signs.
+
+#### Params of traffic sign detector:
+Input image: size=1024x768<br>
+Pyramid of images: scaleFactor=1.2<br>
+NMS: minNeighbors=5<br>
+Sliding window: minSize=24x24, maxSize=144x144
+
+#### Test of traffic sign detector:
+Cascade classifier for circular traffic signs:<br>
+recall=76.8%, precision=78.5%, f1-score=77.6%<br>
+Cascade classifier for triangular and rectangular traffic signs:<br>
+recall=80.0%, precision=81.6%, f1-score=80.8%<br>
+SVM-classifier for circular traffic signs:<br>
+precision=98.6%<br>
+SVM-classifier for triangular and rectangular traffic signs:<br>
+precision=97.46%
+
+#### Test of traffic sign classifier:
+SVM-classifier:<br>
+accuracy=96.5%