{"title":"人脸特征跟踪的初始化与失迹恢复性能分析","authors":"E. Voisan, R. Precup, Florin Dragan","doi":"10.1109/SACI.2014.6840069","DOIUrl":null,"url":null,"abstract":"Face feature tracking is an important element for detection and interpretation of human face expression and for further human mood-based interactions. This paper discusses the current status in face modeling techniques and performs a performance analysis. The analysis concerns the initialization and it also includes the lost track recovery for an Active Appearance Model-based face tracking algorithm.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Initialization and lost track recovery performance analysis of face features tracking\",\"authors\":\"E. Voisan, R. Precup, Florin Dragan\",\"doi\":\"10.1109/SACI.2014.6840069\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Face feature tracking is an important element for detection and interpretation of human face expression and for further human mood-based interactions. This paper discusses the current status in face modeling techniques and performs a performance analysis. The analysis concerns the initialization and it also includes the lost track recovery for an Active Appearance Model-based face tracking algorithm.\",\"PeriodicalId\":163447,\"journal\":{\"name\":\"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SACI.2014.6840069\",\"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 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2014.6840069","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Initialization and lost track recovery performance analysis of face features tracking
Face feature tracking is an important element for detection and interpretation of human face expression and for further human mood-based interactions. This paper discusses the current status in face modeling techniques and performs a performance analysis. The analysis concerns the initialization and it also includes the lost track recovery for an Active Appearance Model-based face tracking algorithm.