Paper Info
Title
Tracking and recognition of multiple faces at distances
Abstract
Many applications require tracking and recognition of multiple faces at distances, such as in video surveillance. Such a task, dealing with noncooperative objects is more challenging than handling a single face and than tackling a cooperative user. The difficulties include mutual occlusions of multiple faces and arbitrary head poses. In this paper, we present a method for solving the problems and a real-time system implementation. An appearance model updating mechanism is developed via Gaussian Mixture Models to deal with tracking under head rotation and mutual occlusion. Face recognition based on video sequence is then performed to get the identity information. Through fusing the tracking and recognition information, the performance of them are both improved. A real-time system for multi-face tracking and recognition at distances is presented. The system can track multiple faces under head rotations, and deal with total occlusion effectively regardless of the motion trajectory. It is also able to recognize multi-persons simultaneously. Experimental results demonstrate promising performance of the system.
Year
DOI
Venue
2007
10.1007/978-3-540-74549-5_54
ICB
Keywords
Field
DocType
real-time system implementation,recognition information,arbitrary head,face recognition,multiple face,identity information,multi-face tracking,head rotation,real-time system,mutual occlusion,face tracking,gaussian mixture model,real time systems
Computer vision,Facial recognition system,Three-dimensional face recognition,Pattern recognition,Computer science,Local binary patterns,Active appearance model,Implementation,Video tracking,Artificial intelligence,Trajectory,Mixture model
Conference
Volume
ISSN
ISBN
4642
0302-9743
3-540-74548-3
Citations 
PageRank 
References 
5
0.48
14
Authors
5
Name
Order
Citations
PageRank
Rong Liu150.48
Xiufeng Gao2231.97
Rufeng Chu356027.44
Xiangxin Zhu440327.64
Stan Z. Li58951535.26