NDLI: Robust pose estimation based on Sylvester’s equation: Single and multiple collaborative cameras

Content Provider	IEEE Xplore Digital Library
Author	Chong Chen Schonfeld, D. Mohamed, M.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Illinois at Chicago, Chicago, IL (Chong Chen; Schonfeld, D.)
Abstract	A method is introduced to track the object's motion and estimate its pose from multiple cameras. Firstly pose estimation from one camera is explained. We show that pose estimation from the corresponding feature points can be formed as a solution to Sylvester's equation. Furthermore, we develop a distributed solution, which indicates that pose estimation from multiple cameras can be obtained from the linear combination of results from each single camera. We relay on the results from other cameras to improve the estimate of the first one, and vice versa. Finally, the computer simulation experiments demonstrate the superior performance of our algorithm in robustness.
Starting Page	1085
Ending Page	1088
File Size	186519
Page Count	4
File Format	PDF
ISBN	9781424414833
ISSN	15206149
DOI	10.1109/ICASSP.2008.4517802
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Equations Collaboration Cameras Motion estimation Image sequences Video sequences Tracking Relays Computer simulation Best Linear Unbiased Estimator (BLUE) Pose Estimation Sylvester’s Equation Lagrange Method
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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