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M. Pressigout, E. Marchand, E. Mémin. Hybrid tracking approach using optical flow and pose estimation. In IEEE Int. Conf. on Image Processing, ICIP'08, Pages 2720-2723, San Diego, California, October 2008.

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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


Eric Marchand

BibTex Reference

   Author = {Pressigout, M. and Marchand, E. and Mémin, E.},
   Title = {Hybrid tracking approach using optical flow and pose estimation},
   BookTitle = {IEEE Int. Conf. on Image Processing, ICIP'08},
   Pages = {2720--2723},
   Address = {San Diego, California},
   Month = {October},
   Year = {2008}

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