2013 · 23 citations · 11 references
ComputingAutomotive EngineeringComputer ScienceAutomotive DiagnosticsComputer VisionMachine VisionCondition MonitoringFace RecognitionFatigueFeature DetectionObject DetectionPattern RecognitionAdaboostComputer-aided DetectionDriver Drowsiness DetectionDriver Monitoring SystemsFace Feature ExtractionFatigue DetectionFatigue MonitoringLocal Binary Patterns
This paper uses different algorithms, which are called AdaBoost algorithm and the difference between infrared frames algorithm, to locate the precise position of the eyes in different light environment of driving. We identify the eye's status by extracting the characteristic parameters of eyes and detect fatigue based on the method of PERCLOS. At the same time, tfurther test the driver's fatigue, we use the Local Binary Patter (LBP) algorithm to detect the yawning as an aided detection. The results of the experiment show that algorithm ensures the accuracy of the system and it can achieve the requirement of non contact type, different lighting conditions and real-time detection.
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Rapid object detection using a boosted cascade of simple features
Paul Viola, Michael Jones · 2005 · 18.2K citations