{"title":"利用主动外观算法对人脸和面部特征进行跟踪","authors":"Jörgen Ahlberg","doi":"10.1109/RATFG.2001.938912","DOIUrl":null,"url":null,"abstract":"This paper describes a system for tracking a face and its facial features in an input video sequence using the active appearance algorithm. The algorithm adapts a wireframe model to the face in each frame, and the adaptation parameters are converted to MPEG-4 facial animation parameters. The results are promising, and it is our conclusion that we should continue on this track in our task to create a real-time model-based coder.","PeriodicalId":355094,"journal":{"name":"Proceedings IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"61","resultStr":"{\"title\":\"Using the active appearance algorithm for face and facial feature tracking\",\"authors\":\"Jörgen Ahlberg\",\"doi\":\"10.1109/RATFG.2001.938912\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a system for tracking a face and its facial features in an input video sequence using the active appearance algorithm. The algorithm adapts a wireframe model to the face in each frame, and the adaptation parameters are converted to MPEG-4 facial animation parameters. The results are promising, and it is our conclusion that we should continue on this track in our task to create a real-time model-based coder.\",\"PeriodicalId\":355094,\"journal\":{\"name\":\"Proceedings IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"61\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RATFG.2001.938912\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RATFG.2001.938912","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using the active appearance algorithm for face and facial feature tracking
This paper describes a system for tracking a face and its facial features in an input video sequence using the active appearance algorithm. The algorithm adapts a wireframe model to the face in each frame, and the adaptation parameters are converted to MPEG-4 facial animation parameters. The results are promising, and it is our conclusion that we should continue on this track in our task to create a real-time model-based coder.