@inproceedings{ee01f95ffa3d45fa950c2ff8dbdffccc,
title = "A multi-faces tracking and recognition framework for surveillance system",
abstract = "A novel framework for unsupervised multi-faces tracking and recognition is built on Detection-Tracking-Recognition (DTR) approach. This framework proposed a hybrid face detector for real-time face tracking which is robust to occlusions and posture changes. Faces acquired during unsupervised detection stage will be further processed by SIFT operator in order to cluster face sequence into certain groups. After that, the relevant faces are put together which is of much importance for face recognition in videos. The framework is validated on several videos collected in unconstrained condition (20min each.).The framework can track the face and automatically group a serial faces for a single human-being object in an unlabeled video robustly.",
keywords = "Face Recognition, Multi-faces Tracking, Real-time, Surveillance",
author = "Huafeng Wang and Yunhong Wang and Zhaoxiang Zhang and Fan Wang and Jin Huang",
year = "2011",
doi = "10.1109/IVSurv.2011.6157035",
language = "英语",
isbn = "9781457718311",
series = "Proceedings - 2011 3rd Chinese Conference on Intelligent Visual Surveillance, IVS 2011",
pages = "101--104",
booktitle = "Proceedings - 2011 3rd Chinese Conference on Intelligent Visual Surveillance, IVS 2011",
note = "2011 3rd Chinese Conference on Intelligent Visual Surveillance, IVS 2011 ; Conference date: 01-12-2011 Through 02-12-2011",
}