{"title":"多出口非对称增强的MBLBP人脸检测","authors":"M. Sharkas, Amr M. El-Helw, E. AlSaba","doi":"10.1109/ICEIE.2010.5559771","DOIUrl":null,"url":null,"abstract":"Face detection plays an important role in many applications such as video surveillance, face recognition, face image database management etc. This paper presents a new technique which reduces the learning and detection time using the multi block local binary pattern (MBLBP) with Multi-exit Asymmetric Boosting. In this technique, the selected features are reduced by around 1/20 of Haar-like method so the learning time is also reduced by about 1/20. The detection time is also reduced by more than 1/4 of Haar-like detector. Multi-exit Asymmetric Boosting reduces features by about 1/5 of the cascade method so the learning and detection time is also reduced.","PeriodicalId":211301,"journal":{"name":"2010 International Conference on Electronics and Information Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"MBLBP face detection with multi-exit Asymmetric Boosting\",\"authors\":\"M. Sharkas, Amr M. El-Helw, E. AlSaba\",\"doi\":\"10.1109/ICEIE.2010.5559771\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Face detection plays an important role in many applications such as video surveillance, face recognition, face image database management etc. This paper presents a new technique which reduces the learning and detection time using the multi block local binary pattern (MBLBP) with Multi-exit Asymmetric Boosting. In this technique, the selected features are reduced by around 1/20 of Haar-like method so the learning time is also reduced by about 1/20. The detection time is also reduced by more than 1/4 of Haar-like detector. Multi-exit Asymmetric Boosting reduces features by about 1/5 of the cascade method so the learning and detection time is also reduced.\",\"PeriodicalId\":211301,\"journal\":{\"name\":\"2010 International Conference on Electronics and Information Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Electronics and Information Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEIE.2010.5559771\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Electronics and Information Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEIE.2010.5559771","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MBLBP face detection with multi-exit Asymmetric Boosting
Face detection plays an important role in many applications such as video surveillance, face recognition, face image database management etc. This paper presents a new technique which reduces the learning and detection time using the multi block local binary pattern (MBLBP) with Multi-exit Asymmetric Boosting. In this technique, the selected features are reduced by around 1/20 of Haar-like method so the learning time is also reduced by about 1/20. The detection time is also reduced by more than 1/4 of Haar-like detector. Multi-exit Asymmetric Boosting reduces features by about 1/5 of the cascade method so the learning and detection time is also reduced.