DocumentCode :
3011825
Title :
Observability of perspective dynamical systems
Author :
Inaba, Hirosh ; Yoshida, Akikfumi ; Abdursul, Rixat ; Ghosh, Bijoy K.
Author_Institution :
Dept. of Inf. Sci., Tokyo Denki Univ., Japan
Volume :
5
fYear :
2000
fDate :
2000
Firstpage :
5157
Abstract :
Perspective dynamical systems arise in machine vision, and the essential problem in such a system is how to determine any unknown states and/or any unknown parameters from its perspective observation. Considering simple perspective dynamical systems, we study the state observability and the parameter identifiability of such systems, using the differential geometric method, that is, the observability rank condition, which has been developed for general nonlinear systems, and present various necessary and/or sufficient conditions for observability and/or identifiability
Keywords :
computer vision; differential geometry; identification; observability; differential geometric method; general nonlinear systems; machine vision; necessary and sufficient conditions; observability rank condition; parameter identifiability; perspective dynamical systems; perspective observation; state observability; unknown parameters; unknown states; Image motion analysis; Linear systems; Machine vision; Nonlinear optics; Nonlinear systems; Observability; Shape; Sufficient conditions; System testing; Terminology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
ISSN :
0191-2216
Print_ISBN :
0-7803-6638-7
Type :
conf
DOI :
10.1109/CDC.2001.914771
Filename :
914771
Link To Document :
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