Contour segment analysis for human silhouette pre-segmentation

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

1 GIPSA-AGPIG - GIPSA - Architecture, Géométrie, Perception, Images, Gestes

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.

Mots clés: SVM; HOGs; human segmentation; human silhouette; silhouette

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

Cyrille Migniot, Pascal Bertolino, Jean-Marc Chassery. Contour segment analysis for human silhouette pre-segmentation. VISAPP 2010 - 5th International Conference on Computer Vision Theory and Applications, May 2010, Angers, France. pp.CD. ⟨hal-00451028⟩