Geodesic active regions for motion estimation and tracking
- 1 January 1999
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 688-694 vol.1
- https://doi.org/10.1109/iccv.1999.791292
Abstract
This paper proposes a new front propagation method to deal accurately with the challenging problem of tracking non-rigid moving objects. This is obtained by employing a geodesic active region model where the designed objective function is composed of boundary and region-based terms and optimizes the curve position with respect to motion and intensity properties. The main novelty of our approach is that we deal with the motion estimation (linear models are assumed) and the tracking problem simultaneously. In other words, the optimization problem contains a coupled set of unknown variables; the curve position and the corresponding motion model. The designed objective function is minimized using a gradient descent method; the curve is propagated towards the object boundaries under the influence of boundary, intensity and motion-based forces using a PDE, while given the curve position an incremental analytical solution is obtained for the motion model. Besides, this PDE is implemented using a level set approach where topological changes are naturally handled. Very promising experimental results are provided using real video sequences.Keywords
This publication has 18 references indexed in Scilit:
- Geodesic active regions for motion estimation and trackingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- Snakes in MovementSIAM Journal on Numerical Analysis, 1996
- Conformal curvature flows: From phase transitions to active visionArchive for Rational Mechanics and Analysis, 1996
- Robust Multiresolution Estimation of Parametric Motion ModelsJournal of Visual Communication and Image Representation, 1995
- Shape modeling with front propagation: a level set approachPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1995
- Region-Based Tracking Using Affine Motion Models in Long Image SequencesCVGIP: Image Understanding, 1994
- Tracking deformable objects in the plane using an active contour modelPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- Robust model-based motion tracking through the integration of search and estimationInternational Journal of Computer Vision, 1992
- Combining intensity and motion for incremental segmentation and tracking over long image sequencesPublished by Springer Nature ,1992
- Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulationsJournal of Computational Physics, 1988