Intelligent tracking
Cuevas, Erik V. ;  Zaldivar, Daniel ;  Rojas, Raúl ;  Universität <Berlin, Freie Universität> / Fachbereich Mathematik und Informatik

Main titleIntelligent tracking
AuthorCuevas, Erik V.
AuthorZaldivar, Daniel
AuthorRojas, Raúl
InstitutionUniversität <Berlin, Freie Universität> / Fachbereich Mathematik und Informatik
No. of Pages12 S.
Series Freie Universität Berlin, Fachbereich Mathematik und Informatik : Ser. B, Informatik ; [20]03,15
Classification (DDC)004 Data processing and Computer science
AbstractIn the robotics area, visual tracking is an important and difficult problem therefore
is necessary to have a robust and efficient control algorithm which presents immunity
characteristics to stochastic direction and speed changes of the object to be
tracked. Also is important count with a segmentation algorithm which be able to tolerate
changes in the intensity of light. We describe in this report the implementation
of fuzzy controllers based on the fuzzy condensed algorithm and also the developed of
a LVQ neural network to segment the image. For this work we used two fuzzy condensed
algorithms running in a PC to control a robot’s head which tracks a human
face. We describe the main lines of the fuzzy condensed algorithm as well as the LVQ
neural networks architecture employed and the implementation, the fuzzy condensed
controller performance in comparison to a PID controller and real time results.
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FU DepartmentDepartment of Mathematics and Computer Science
Other affiliation(s)Institut für Informatik
Year of publication2003
Type of documentWorking paper
Terms of use/Rights Nutzungsbedingungen
Created at2009-05-13 : 09:28:06
Last changed2015-03-03 : 01:40:12
Static URLhttp://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000001922