DocumentCode
3174768
Title
Nonlinear observers appearing in dynamical machine vision
Author
Inaba, Hiroshi ; Abdursul, Rixat ; Ghosh, Bijoy K.
Author_Institution
Dept. of Inf. & Syst. Eng., Tokyo Denki Univ., Saitama, Japan
Volume
4
fYear
2004
fDate
14-17 Dec. 2004
Firstpage
3903
Abstract
Perspective dynamical systems arise in dynamic machine vision, in which only perspective observation is available. This paper first develops a perspective linear system in which the number of observing points is more than one, and studies a Luenberger-type nonlinear observer for such a system. Then assuming a given perspective linear system to be Lyapunov stable and to satisfy some sort of detestability condition, it is shown that the estimation error converges exponentially to zero.
Keywords
Lyapunov methods; computer vision; convergence; nonlinear control systems; observers; Luenberger-type nonlinear observer; Lyapunov stability; detestability condition; dynamic machine vision; estimation error convergence; nonlinear observers; observing points; perspective dynamical systems; perspective linear system; perspective observation; Cameras; Computer vision; Convergence; Estimation error; Linear systems; Machine vision; Nonlinear dynamical systems; Observers; Shape; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2004. CDC. 43rd IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-8682-5
Type
conf
DOI
10.1109/CDC.2004.1429349
Filename
1429349
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