Title:
Deform PF-MT: Particle Filter With Mode Tracker for Tracking Nonaffine Contour Deformations

dc.contributor.author Vaswani, Namrata en_US
dc.contributor.author Rathi, Yogesh en_US
dc.contributor.author Yezzi, Anthony en_US
dc.contributor.author Tannenbaum, Allen R. en_US
dc.contributor.corporatename Iowa State University. Dept. of Electrical and Computer Engineering en_US
dc.contributor.corporatename Harvard Medical School en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Electrical and Computer Engineering en_US
dc.contributor.corporatename Ṭekhniyon, Makhon ṭekhnologi le-Yiśraʼel en_US
dc.date.accessioned 2010-08-25T16:40:38Z
dc.date.available 2010-08-25T16:40:38Z
dc.date.issued 2010-04
dc.description ©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or distribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. en_US
dc.description DOI: 10.1109/TIP.2009.2037465 en_US
dc.description.abstract We propose algorithms for tracking the boundary contour of a deforming object from an image sequence, when the nonaffine (local) deformation over consecutive frames is large and there is overlapping clutter, occlusions, low contrast, or outlier imagery. When the object is arbitrarily deforming, each, or at least most, contour points can move independently. Contour deformation then forms an infinite (in practice, very large), dimensional space. Direct application of particle filters (PF) for large dimensional problems is impractically expensive. However, in most real problems, at any given time, most of the contour deformation occurs in a small number of dimensions ("effective basis space") while the residual deformation in the rest of the state space ("residual space") is small. This property enables us to apply the particle filtering with mode tracking (PF-MT) idea that was proposed for such large dimensional problems in recent work. Since most contour deformation is low spatial frequency, we propose to use the space of deformation at a subsampled set of locations as the effective basis space. The resulting algorithm is called deform PF-MT. It requires significant modifications compared to the original PF-MT because the space of contours is a non-Euclidean infinite dimensional space. en_US
dc.identifier.citation Namrata Vaswani, Yogesh Rathi, Anthony Yezzi, and Allen Tannenbaum, "Deform PF-MT: Particle Filter With Mode Tracker for Tracking Nonaffine Contour Deformations," IEEE Transactions on Image Processing, Vol. 19, No. 4, April 2010, 841-857 en_US
dc.identifier.issn 1057-7149
dc.identifier.uri http://hdl.handle.net/1853/34530
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Institute of Electrical and Electronics Engineers en_US
dc.subject Image sequences en_US
dc.subject Object recognition en_US
dc.subject Particle filtering en_US
dc.title Deform PF-MT: Particle Filter With Mode Tracker for Tracking Nonaffine Contour Deformations en_US
dc.type Text
dc.type.genre Article
dspace.entity.type Publication
local.contributor.author Yezzi, Anthony
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
local.contributor.corporatename Wallace H. Coulter Department of Biomedical Engineering
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relation.isOrgUnitOfPublication da59be3c-3d0a-41da-91b9-ebe2ecc83b66
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