DocumentCode
462191
Title
Real Time Multi Camera 3D) Tracking System
Author
Sidorov, K. ; Hicks, Y. ; Marshall, D. ; Sanei, S. ; Chambers, J.
Author_Institution
Sch. of Eng., Cardiff Univ., Cardiff
fYear
2006
fDate
29-30 Nov. 2006
Firstpage
191
Lastpage
191
Abstract
We present a novel real time multi camera system for tracking 3D position of a face in an office environment. The system uses a combination of low level and high level features for robust tracking of a face in two dimensional (2D) view of each camera. Then the 2D estimates are combined through Quality Threshold clustering to produce an estimate of the 3D position, which is fed back to the 2D trackers to correct any possible errors.
Keywords
computer vision; face recognition; feature extraction; image segmentation; pattern clustering; real-time systems; tracking; 2D view; 3D face position; 3D position estimation; computer vision; high level features; low level features; office environment; quality threshold clustering; real time multicamera 3D tracking system;
fLanguage
English
Publisher
iet
Conference_Titel
Visual Media Production, 2006. CVMP 2006. 3rd European Conference on
Conference_Location
London
ISSN
0537-9989
Print_ISBN
978-0-86341-729-0
Type
conf
Filename
4156043
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