%0 Conference Proceedings
%F Pressigout08a
%A Pressigout, M.
%A Marchand, E.
%A Mémin, E.
%T Hybrid tracking approach using optical flow and pose estimation
%B IEEE Int. Conf. on Image Processing, ICIP'08
%P 2720-2723
%C San Diego, California
%X This paper proposes an hybrid approach to estimate the 3D pose of an object. The integration of texture information based on image intensities in a more classical non-linear edge-based pose estimation computation has proven to highly increase the reliability of the tracker. We propose in this work to exploit the data provided by an optical flow algorithm for a similar purpose. The advantage of using the optical flow is that it does not require any a priori knowledge on the object appearance. The registration of 2D and 3D cues for monocular tracking is performed by a non linear minimization. Results obtained show that using optical flow enables to perform robust 3D hybrid tracking even without any texture model
%U http://rainbow-doc.irisa.fr/pdf/2008_icip_pressigout.pdf
%U http://dx.doi.org/10.1109/ICIP.2008.4712356
%8 October
%D 2008