Articles liés à A Biologically Inspired Optical Flow System: An Application...

A Biologically Inspired Optical Flow System: An Application for Motion Segmentation and Object Identification - Couverture souple

DeSouza, Guilherme; Rijhwani, Vishal

 
9783838341224: A Biologically Inspired Optical Flow System: An Application for Motion Segmentation and Object Identification
Couverture souple
ISBN 10 : 3838341228 ISBN 13 : 9783838341224
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Optical flow is possibly the most used method for motion segmentation. However its application is often restricted to off-line processing as it requires extensive computational resources and time. In this work, we explore an optical flow method derived from research on the vision system of diptereous insects. The proposed method, Biological Optical Flow (BioOF) was implemented using a series of filters, and therefore is much faster than any existing machine-coded optical flow algorithm. Like other optical flow methods, the output of the BioOF has two components: horizontal and vertical optical flows -- both of them are combined in order to get a better final result in terms of motion segmentation. The result is a framework that can extract an excellent contour of the moving objects segmented out from the images. Finally the object contour is projected onto a Fourier feature space, leading to a representation of the object that is rotational and translational invariant. Over the Fourier feature space, various classification algorithms are investigated for object recognition.

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Présentation de l'éditeur

Optical flow is possibly the most used method for motion segmentation. However its application is often restricted to off-line processing as it requires extensive computational resources and time. In this work, we explore an optical flow method derived from research on the vision system of diptereous insects. The proposed method, Biological Optical Flow (BioOF) was implemented using a series of filters, and therefore is much faster than any existing machine-coded optical flow algorithm. Like other optical flow methods, the output of the BioOF has two components: horizontal and vertical optical flows -- both of them are combined in order to get a better final result in terms of motion segmentation. The result is a framework that can extract an excellent contour of the moving objects segmented out from the images. Finally the object contour is projected onto a Fourier feature space, leading to a representation of the object that is rotational and translational invariant. Over the Fourier feature space, various classification algorithms are investigated for object recognition.

Biographie de l'auteur

Dr. DeSouza received a Ph.D. from Purdue University. He is withthe ECE Depart at the University of Missouri. His researchinterests include robotic vision, computational intelligence,mobile robotics, and multi-view 3D vision. He is the chair of theIEEE-CIS MU Chapter and a member of the IEEE CIS, IEEE R&A, andIEEE SMC Societies.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3838341228
ISBN 13 
9783838341224
Reliure
Broché
Nombre de pages
72
Coordonnées du fabricant
non disponible
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