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Investigation of Some Possible Approaches
Cascade of AdaBoostbased Classiﬁers with Simple Features
False Alarm Reduction
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AdaBoost with Validation alarm reduction algorithm architecture asymmetric feature templates cascade comparison symmetric cascade of classiﬁers classiﬁcation phase color information computer vision conﬁgurations DABv decision tree deﬁne detection rate Discrete AdaBoost edge detection evaluation example face detection false alarm rate false alarm reduction false positive rate Figure ﬁnd ﬁrst Gentle AdaBoost Haar-like features hierarchical layout Hough transform HSI color space input Joint Road Sign limit sign cascade Logit Boost algorithm Multi-Sign Classiﬁer multiple road sign neural network object recognition OpenCV pattems positive samples processing Rate False Alarm Real AdaBoost recognition rate Road Sign Detector road sign recognition ROC curves DAB scale factor set of feature sign and speed sign classiﬁer sign recognition system speciﬁc speed limit sign stage sums stage thresholds stop sign cascade sub-window symmetric and asymmetric target object techniques training data set true positive TRW video sequences Validation Penalty Viola-Jones weak classiﬁer weights yield sign cascade