We address the problem of detecting irregularities in visual data, e.g., detecting suspicious behaviors in video sequences, or identifying salient patterns in images. The term &qu...
— In this paper, we introduce a cognitive approach for object tracking from a mobile platform. The approach is based on a biologically motivated attention system which is able to...
One of the goals of the ACTS project MODEST is to build an automatic video-surveillance system from a sequence of digital images. The overall system can be divided into the followi...
Patrick Piscaglia, Andrea Cavallaro, Michel Bonnet...
In this paper, we present a new framework of video object
segmentation, in which we formulate the task of extracting
prominent objects from a scene as the problem of hypergraph
...