Learning saliency maps for object categorization

Franck Moosmann (1) , Diane Larlus (1) , Frédéric Jurie (1)

1 LEAR - Learning and recognition in vision

We present a novel approach for object category recognition that can find objects in challenging conditions using visual attention technique. It combines saliency maps very closely with the extraction of random subwindows for classification purposes. The maps are built online by the classifier while being used by it to classify the image.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Franck Moosmann, Diane Larlus, Frédéric Jurie. Learning saliency maps for object categorization. International Workshop on The Representation and Use of Prior Knowledge in Vision (in ECCV '06), May 2006, Graz, Austria. ⟨hal-00203726⟩