Paper Info
Title
Real-time multiple-person tracking system
Abstract
Tracking human faces is an indispensable process in security access control and automatic video surveillance systems. In this paper, we propose a real-time multiple-person tracking system. Firstly, both skin colour and motion components are extracted to generate face-like regions. Those regions regarded as face candidates are further processed by a silhouette analyser to redefine their boundary and verified by our rule-based verification algorithm. Finally a simple method which utilizes the relationship of skin colour and face history is applied to track multiple persons. Experimental results demonstrate that both the accuracy and processing speed are very promising and can be applied for practical use.
Year
DOI
Venue
2002
10.1109/ICPR.2002.1048449
ICPR (2)
Keywords
Field
DocType
continuous image sequences,processing speed,skin colour components,face recognition,motion components,accuracy,image segmentation,security access control systems,face history,optical tracking,face candidates,biometrics (access control),human face tracking,rule-based verification algorithm,image sequences,automatic video surveillance systems,silhouette analyser,real-time systems,real-time multiple-person tracking system,image colour analysis,face-like regions,image motion analysis,skin,access control,face detection,algorithm design and analysis,real time systems,real time,rule based,psychology,tracking system,tracking,flowcharts
Computer vision,Analyser,Facial recognition system,Biometrics access control,Pattern recognition,Silhouette,Computer science,Tracking system,Image segmentation,Optical tracking,Access control,Artificial intelligence
Conference
Volume
ISSN
Citations 
2
1051-4651
4
PageRank 
References 
Authors
0.58
6
2
Name
Order
Citations
PageRank
Hung-xin Zhao150.97
Yea-shuan Huang247979.42