{"title":"驾驶员困倦检测系统的设计与实现:一种实用的方法","authors":"Aleksandar Colic, Oge Marques, B. Furht","doi":"10.5220/0005012302410247","DOIUrl":null,"url":null,"abstract":"This paper describes the steps involved in designing and implementing a driver drowsiness detection system based on visual input (driver's face and head). It combines off-the-shelf software components for face detection, human skin color detection, and eye state (open vs. closed) classification in a novel way. Preliminary results show that the system is reliable and tolerant to many real-world constraints.","PeriodicalId":438702,"journal":{"name":"2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP)","volume":"257 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Design and implementation of a driver drowsiness detection system: A practical approach\",\"authors\":\"Aleksandar Colic, Oge Marques, B. Furht\",\"doi\":\"10.5220/0005012302410247\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the steps involved in designing and implementing a driver drowsiness detection system based on visual input (driver's face and head). It combines off-the-shelf software components for face detection, human skin color detection, and eye state (open vs. closed) classification in a novel way. Preliminary results show that the system is reliable and tolerant to many real-world constraints.\",\"PeriodicalId\":438702,\"journal\":{\"name\":\"2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP)\",\"volume\":\"257 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0005012302410247\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0005012302410247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and implementation of a driver drowsiness detection system: A practical approach
This paper describes the steps involved in designing and implementing a driver drowsiness detection system based on visual input (driver's face and head). It combines off-the-shelf software components for face detection, human skin color detection, and eye state (open vs. closed) classification in a novel way. Preliminary results show that the system is reliable and tolerant to many real-world constraints.