Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
4
click to vote
IJIA
2010
favorite
Email
discuss
report
37
views
more
IJIA 2010
»
Multi-Camera Positioning for Automated Tracking Systems in Dynamic Environments
13 years 4 months ago
Download
imaging.utk.edu
Yi Yao, Chung-Hao Chen, Besma R. Abidi, David Page
Real-time Traffic
IJIA 2010
|
claim paper
Related Content
»
Modeling Correspondences for MultiCamera Tracking Using Nonlinear Manifold Learning and Ta...
»
RealTime Ball Tracking in a Semiautomated Foosball Table
»
Autocalibration for virtual environments tracking hardware
»
Automated Camera Calibration and 3D Egomotion Estimation for Augmented Reality Application...
»
DLRs Multisensory Articulated Hand Part II The Parallel TorquePosition Control System
»
High Accuracy Navigation in Unknown Environment Using Adaptive Control
»
Video Surveillance using Dynamic Configuration of Mutiple Active Cameras
»
GATMO A Generalized Approach to Tracking Movable Objects
»
Improving Robot Selflocalization Using Landmarks Poses Tracking and Odometry Error Estimat...
more »
Post Info
More Details (n/a)
Added
05 Mar 2011
Updated
05 Mar 2011
Type
Journal
Year
2010
Where
IJIA
Authors
Yi Yao, Chung-Hao Chen, Besma R. Abidi, David Page, Andreas Koschan, Mongi A. Abidi
Comments
(0)
Researcher Info
IJIA 2006 Study Group
Computer Vision