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Non-rigid object localization from color model using mean shift

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2 Author(s)
Jaffre, G. ; Inst. de Recherche en Informatique de Toulouse, Univ. Paul Sabatier, Toulouse, France ; Crouzil, A.

This paper deals with non-rigid object localization in an image, from object colors. Our method allows detection in an image of all the objects, which correspond to a color model, without a priori information about their number. Our approach consists in creating a binary image, which represents the repartition of the most probable pixels to be part of the object. Considering this image as a cluster in R2, the object localization is done by finding all the cluster modes. This search is carried out by applying a statistical method: the mean shift procedure. To illustrate our approach, we use sport images, from which we try to detect all the players.

Published in:

Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on  (Volume:3 )

Date of Conference:

14-17 Sept. 2003