Abstract
The driving fatigue monitoring system based on tree structure classifier is presented. The realtime fatigue monitoring system is established by training face and eye tree-structure classifiers which consists of many strong classifiers. Each strong classifier choose several weak classifiers by AdoBoost recursive method and each weak classifier is characterized by single Haar-like features. The whole Tree-structure is constructed by clustering branches recursive algorithm. Experiment has shown that the driving fatigue monitoring system based on tree-structure classifiers is very reliable. Introduction
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