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5th International Conference on Computer Vision Theory and Applications (VISAPP 2010), Angers : France (2010)

Contour segment analysis for human silhouette pre-segmentation

Cyrille Migniot 1, Pascal Bertolino 1, Jean-Marc Chassery 1

(17/05/2010)

The union of Histograms of Oriented Gradients based descriptors and of a Support Vector Machine classifier is a classic and efficient method for human detection in the images. Conversely, as often in detection, accurate segmentation of these persons is not performed. Many applications however need it. this paper tackles the problem of giving rise to information that will guide the final segmentation step. It presents a method which uses the union mention above to relate to each contour segment a likelihood degree of being part of a human silhouette.

1 :	Grenoble Images Parole Signal Automatique (GIPSA-lab)
	CNRS : UMR5216 – Université Joseph Fourier - Grenoble I – Université Pierre-Mendès-France - Grenoble II – Université Stendhal - Grenoble III – Institut Polytechnique de Grenoble - Grenoble Institute of Technology

Domaine

:

Informatique/Traitement du signal et de l'image Sciences de l'ingénieur/Traitement du signal et de l'image

Mots Clés : silhouette – human silhouette – human segmentation – HOGs – SVM

hal-00451028, version 1

http://hal.archives-ouvertes.fr/hal-00451028

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Contributeur : Pascal Bertolino <>

Soumis le : Jeudi 28 Janvier 2010, 11:34:05

Dernière modification le : Vendredi 29 Juillet 2011, 15:03:09