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Driving fatigue detection is a key technique in vehicle active safety. In this paper, a practical driver fatigue detection algorithm is proposed, it employs sequential detection and temporal tracking to detect human face, which combines the superiorities of both Adaboost and mean-shift algorithm; a morphologic filter method is given to localize the pair of eyes in the detected face area. Then multiple...
In this paper, a robust and effective face detection method with HTF-Boosting is proposed. Firstly, a new feature, called Haar texture feature, is proposed that has many merits compared with Haar-Like feature. Secondly, a new Boosting algorithm, called Haar Texture Feature Boosting (HTF-Boosting), is proposed to construct strong face/nonface classifiers. The HTF-Boosting algorithm trains strong classifiers...
A novel face detection algorithm is proposed in this paper to improve the training speed and detection performance. Firstly, we used Walsh features instead of Haar-like features in the AdaBoost algorithm. Walsh features have less redundancy than Haar-like features due to its orthogonal specialty. Then, we defined a kind of week classifiers with dual-threshold to speedup training process and increase...
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