Active Contours for Tracking Distributions
Top Cited Papers
- 13 April 2004
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 13 (4) , 518-526
- https://doi.org/10.1109/tip.2003.821445
Abstract
A new approach to tracking using active contours is presented. The class of objects to be tracked is assumed to be characterized by a probability distribution over some variable, such as intensity, color, or texture. The goal of the algorithm is to find the region within the current image, such that the sample distribution of the interior of the region most closely matches the model distribution. Two separate criteria for matching distributions are examined, and the curve evolution equations are derived in each case. The flows are shown to perform well in experiments.Keywords
This publication has 28 references indexed in Scilit:
- Using Dynamic Programming For Minimizing The Energy Of Active Contours In The Presence Of Hard ConstraintsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- A real-time face trackerPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Active contours without edgesIEEE Transactions on Image Processing, 2001
- Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Gradient flows and geometric active contour modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1995
- Shape modeling with front propagation: a level set approachPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1995
- Robust active contours with insensitive parametersPattern Recognition, 1994
- A geometric model for active contours in image processingNumerische Mathematik, 1993
- Optimal approximations by piecewise smooth functions and associated variational problemsCommunications on Pure and Applied Mathematics, 1989
- Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulationsJournal of Computational Physics, 1988