To compute learning target location by form and motion attentive visuomotor control system

Author

Koshizen, Takamasa ; Tsujino, Hiroshi

Author_Institution

Honda R&D Co. Ltd., Saitama, Japan

Volume

2

fYear

2001

fDate

2001

Firstpage

890

Abstract

We propose a new attentive visuomotor control system consisting of form (ventral) and spatial motion (dorsal) primate visual streams. Hypothetical neuronal network is also proved to support the system in terms of brain-like fashion, as well as being used to computationally obtain target location, induced by self-motion estimates and the form perception of targeted object. As a consequence, semantics of the two visual pathways (ventral and dorsal), in this paper is attempted to be revealed with Bayesian frontal lobe´s model, by taking into account of learning target location by the visuomotor control system comprising of both form and motion

Keywords

biocontrol; learning (artificial intelligence); motion estimation; neural nets; neurophysiology; physiological models; vision; Bayesian model; attentive visuomotor control system; dorsal visual pathways; form perception; frontal lobe model; learning; neuronal network; primate visual streams; self-motion estimate; target location; ventral visual pathways; Bayesian methods; Biological neural networks; Brain modeling; Computer networks; Control system synthesis; Control systems; Humans; Motion control; Motion estimation; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on

Conference_Location

Washington, DC

ISSN

1098-7576

Print_ISBN

0-7803-7044-9

Type

conf

DOI

10.1109/IJCNN.2001.939477

Filename

939477