{"title":"视频中的盲脸索引","authors":"J. Prinosil","doi":"10.1109/TSP.2011.6043664","DOIUrl":null,"url":null,"abstract":"This paper deals with the proposal of blind face indexing system for real videos with no prior knowledge. The system consists of face and facial features detection and tracking stage and face clustering stage. Viola-Jones object detector for face detection, pictorial structures for facial feature detection and Lucas-Kanade optical flow for facial feature tracking are used. Average face models based on popular SIFT features are applied for face clustering. The system operates well on discussion talks or records of videoconferences.","PeriodicalId":341695,"journal":{"name":"2011 34th International Conference on Telecommunications and Signal Processing (TSP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Blind face indexing in video\",\"authors\":\"J. Prinosil\",\"doi\":\"10.1109/TSP.2011.6043664\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with the proposal of blind face indexing system for real videos with no prior knowledge. The system consists of face and facial features detection and tracking stage and face clustering stage. Viola-Jones object detector for face detection, pictorial structures for facial feature detection and Lucas-Kanade optical flow for facial feature tracking are used. Average face models based on popular SIFT features are applied for face clustering. The system operates well on discussion talks or records of videoconferences.\",\"PeriodicalId\":341695,\"journal\":{\"name\":\"2011 34th International Conference on Telecommunications and Signal Processing (TSP)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 34th International Conference on Telecommunications and Signal Processing (TSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TSP.2011.6043664\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 34th International Conference on Telecommunications and Signal Processing (TSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TSP.2011.6043664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper deals with the proposal of blind face indexing system for real videos with no prior knowledge. The system consists of face and facial features detection and tracking stage and face clustering stage. Viola-Jones object detector for face detection, pictorial structures for facial feature detection and Lucas-Kanade optical flow for facial feature tracking are used. Average face models based on popular SIFT features are applied for face clustering. The system operates well on discussion talks or records of videoconferences.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
