Pascal Bertolino

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In this paper, we present a segmentation method that provides perceptually relevant partitions without any a priori knowledge of the image content: first a local homogeneity analysis detects the image areas that have to be segmented. Then segmentation using a similarity criterion is locally performed. At last, segmented regions are grouped using Gestalt(More)
We present an algorithm for image segmentation with irregular pyramids. Instead of starting with the original pixel grid, we rst apply some adaptive Voronoi tesselation to the image. This provides the advantage that the number of cells in the bottom level of the pyramid is already reduced as compared to the number of pixels of the original image.(More)
This paper deals with foreground object segmentation in the context of moving camera sequences. The method that we propose computes a foreground object segmentation in a MAP-MRF framework between foreground and background classes. We use region-based models to model the foreground object and the background region that surrounds the object. Moreover, the(More)
This paper presents a new algorithm for human segmentation in images. The human silhouette is estimated in positive windows that are already obtained with an existing efficient detection method. This accurate segmentation uses the data previously computed in the detection. First, a pre-segmentation step computes the likelihood of contour segments as being a(More)
The use of cryotherapy for the treatment of some unresectable liver tumours has been clearly established as a therapeutic option. Intra-operative ultrasound has enhanced the process by enabling the surgeon to identify hepatic lesions and to allow visualisation of the freezing process to ensure that the cryolesion will include the tumour mass. The purpose of(More)
In this paper, we present a tracking initialization method that combines a rough extraction of moving objects and a refined segmentation of their contours. The extraction of moving objects is obtained with a classical global motion compensation. To obtain accurate contours of the objects, a spatial segmentation is performed with an original localized graph(More)
Human detection and segmentation is a challenging task owing to variations in human pose and clothing. 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(More)