Colour Object recognition combining Motion Descriptors, Zernike Moments and Support Vector Machine

Author

Smach, Fethi ; Lemaitre, Cédric ; Miteran, Johel ; Gauthier, Jean Paul ; Abid, Mohamed

Author_Institution

Burgundy Univ., Dijon

fYear

2006

fDate

6-10 Nov. 2006

Firstpage

3238

Lastpage

3242

Abstract

Fourier descriptors have been used successfully in the past to grey-level images, rigid bodied object. Here we used motion descriptors (MD) introduced recently by Gauthier et al., combined with Zernike Moments (ZM), in order to perform a recognition task in colour images. The feature vector for the MD obtained for each object appears to be unique and can be used for shape recognition. The MD, alone or combined with ZM, are used as an input of a support vector machine (SVM) based classifier. We illustrate results on three available datasets: ORL faces database, COIL-100, which consists of 3D objects and A R faces

Keywords

Fourier analysis; image colour analysis; image motion analysis; support vector machines; COIL-100; Fourier descriptors; SVM; Zernike moments; colour image recognition; colour object recognition; grey-level images; motion descriptors; support vector machine; Fourier transforms; Image databases; Image processing; Image recognition; Laboratories; Object recognition; Shape; Spatial databases; Support vector machine classification; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on

Conference_Location

Paris

ISSN

1553-572X

Print_ISBN

1-4244-0390-1

Type

conf

DOI

10.1109/IECON.2006.347588

Filename

4152828