A Multi-Faces Tracking and Recognition Framework for Surveillance System

CASIA OpenIR > 智能感知与计算研究中心

	A Multi-Faces Tracking and Recognition Framework for Surveillance System
	Huafeng Wang; Yunhong Wang; Zhaoxiang Zhang; Fan Wang; Jin Huan
	2011-12-01
会议名称	Chinese Conference on Intelligent Visual Surveillance
会议录名称	IVS 2011
会议日期	1-2 December 2011
会议地点	Beijing, China
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.
关键词	Face Recognition Real-time Surveillance Multi-faces Tracking
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13273
专题	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],2011.