Outer-layer based tracking using entropy as a similarity measure

Vincent Garcia (1) , Sylvain Boltz (1) , Eric Debreuve (1) , Michel Barlaud (1)

1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe IMAGES-CREATIVE

Tracking can be achieved using region active contours based on homogeneity models (intensity, motion...). However the model complexity necessary to achieve a given accuracy might be prohibitive. Methods based on salient points may not extract enough of these for reliable motion estimation if the object is too homogeneous. Here we propose to compute the contour deformation based on its neighborhood. Motion estimation is performed at contour samples using a block matching approach. First, partial background masking is applied. Since outliers may then bias the motion estimation, a robust, nonparametric estimation using entropy as a similarity measure between blocks is proposed. Tracking results on synthetic and natural sequences are presented.

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

Vincent Garcia, Sylvain Boltz, Eric Debreuve, Michel Barlaud. Outer-layer based tracking using entropy as a similarity measure. IEEE International Conference on Image Processing, Sep 2007, San Antonio, Texas, USA, United States. pp.309-312. ⟨hal-00380335⟩