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Tracking Deforming Objects using Particle Filtering for Geometric Active Contours
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Institution: |
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA. |
Publisher: |
IEEE Trans Pattern Anal Mach Intell |
Publication Date: |
Aug-2007 |
Volume Number: |
29 |
Issue Number: |
8 |
Pages: |
1470-1475 |
Citation: |
IEEE Trans Pattern Anal Mach Intell. 2007 Aug;29(8):1470-5. |
PubMed ID: |
17568149 |
PMCID: |
PMC3663080 |
Keywords: |
tracking, particle filters, geometric active contours |
Appears in Collections: |
SPL, NA-MIC, NAC |
Sponsors: |
P41 RR13218 (RR) funded by NCRR U54 EB005149 (EB) funded by NIBIB |
Generated Citation: |
Rathi Y., Vaswani N., Tannenbaum A., Yezzi A. Tracking Deforming Objects using Particle Filtering for Geometric Active Contours. IEEE Trans Pattern Anal Mach Intell. 2007 Aug;29(8):1470-5. PMID: 17568149. PMCID: PMC3663080. |
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| Paper: | Download, View online |
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Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or particle filters have been proposed for finite dimensional representations of shape, but these are dependent on the chosen parametrization and cannot handle changes in curve topology. Geometric active contours provide a framework which is parametrization independent and allow for changes in topology. In the present work, we formulate a particle filtering algorithm in the geometric active contour framework that can be used for tracking moving and deforming objects. To the best of our knowledge, this is the first attempt to implement an approximate particle filtering algorithm for tracking on a (theoretically) infinite dimensional state space.
Additional Material
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Rathi-PAMI2007-fig2.jpg (32.66kB)