Santiago Velasco-Forero

2 accepted papers

2021

NNAKF: A Neural Network Adapted Kalman Filter for Target Tracking

Sami Jouaber, Silvère Bonnabel, Santiago Velasco-Forero, Marion Pilté

ICASSP 2021accepted

An adaptive three-dimensional Kalman filter for the tracking of maneuvering targets in three dimensions is proposed. In the radar industry, numerous trackers are based on a constant velocity model, with a process noise covariance matrix Q which is adapted in real time to enhance tracking: it is kept…

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2015

Objects co-segmentation: Propagated from simpler images

Marcus Chen, Santiago Velasco-Forero, Ivor W. Tsang, Tat-Jen Cham

ICASSP 2015accepted

Recent works on image co-segmentation aim to segment common objects among image sets. These methods can co-segment simple images well, but their performance may degrade significantly on more cluttered images. In order to co-segment both simple and complex images well, this paper proposes a novel par…

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