Name
Title | ||
|---|---|---|
Deformable object tracking: a kernel density estimation approach via level set function evolution |
Abstract | ||
|---|---|---|
Automated tracking of deformable objects that change shape and size drastically is challenging. For useful results, one needs an efficient deformable object model. In this regard, we propose a novel deformable object model via joint probability density of level set function and image intensity/feature values. Given the delineated object boundary on the first image frame of a video sequence, we learn the aforementioned joint probability density via kernel (Parzen window) method. From the next frame onward, we match this learned probability density with the probability density on the current frame by minimizing Kullback-Leibler divergence. This minimization procedure is cast in a variational framework and a minimizer is obtained by solving a partial differential equation (PDE). A stable and efficient numerical scheme is proposed for solving this resulting PDE. We demonstrate the efficacy of the proposed tracking method on myocardial border tracking from mouse heart cine magnetic resonance imagery (MRI). |
Year | Venue | Keywords |
|---|---|---|
2007 | PReMI | level set function evolution,delineated object boundary,current frame,probability density,aforementioned joint probability density,efficient deformable object model,automated tracking,joint probability density,deformable object,kernel density estimation approach,myocardial border tracking,image frame,partial differential equation,kernel density estimation,level set,kl divergence,kernel density estimate,kullback leibler divergence,parzen window |
Field | DocType | Volume |
Computer vision,Joint probability distribution,Pattern recognition,Computer science,Object model,Video tracking,Artificial intelligence,Probability density function,Variable kernel density estimation,Kullback–Leibler divergence,Kernel (statistics),Kernel density estimation | Conference | 4815 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-77045-3 | 0 |
PageRank | References | Authors |
0.34 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ray Nilanjan | 1 | 541 | 55.39 |
| Baidya Nath Saha | 2 | 59 | 7.95 |