CASIA OpenIR  > 类脑智能研究中心
A Multi-Faces Tracking and Recognition Framework for Surveillance System
Huafeng Wang; Yunhong Wang; Zhaoxiang Zhang; Fan Wang; Jin Huan
2011-12-01
Conference NameChinese Conference on Intelligent Visual Surveillance
Source PublicationIVS 2011
Conference Date1-2 December 2011
Conference PlaceBeijing, China
AbstractA 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.
KeywordFace Recognition Real-time Surveillance Multi-faces Tracking
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13273
Collection类脑智能研究中心
Corresponding AuthorZhaoxiang Zhang
Recommended Citation
GB/T 7714
Huafeng Wang,Yunhong Wang,Zhaoxiang Zhang,et al. A Multi-Faces Tracking and Recognition Framework for Surveillance System[C],2011.
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