A Multi-Faces Tracking and Recognition Framework for Surveillance System
文献类型：会议论文
| 作者 | Huafeng Wang; Yunhong Wang; Zhaoxiang Zhang ; Fan Wang; Jin Huan
|
| 出版日期 | 2011-12-01 |
| 会议日期 | 1-2 December 2011 |
| 会议地点 | Beijing, China |
| 关键词 | Face Recognition Real-time Surveillance Multi-faces Tracking |
| 英文摘要 | 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. |
| 会议录 | IVS 2011
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13273]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Zhaoxiang Zhang |
| 推荐引用方式 GB/T 7714 | Huafeng Wang,Yunhong Wang,Zhaoxiang Zhang,et al. A Multi-Faces Tracking and Recognition Framework for Surveillance System[C]. 见:. Beijing, China. 1-2 December 2011. |
入库方式： OAI收割
来源：自动化研究所
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