Show simple item record

dc.contributor.authorUnal, Gozdeen_US
dc.contributor.authorKrim, Hamiden_US
dc.contributor.authorYezzi, Anthonyen_US
dc.date.accessioned2013-09-10T14:37:01Z
dc.date.available2013-09-10T14:37:01Z
dc.date.issued2005-06
dc.identifier.citationG. Unal, H. Krim, and A. Yezzi, “Fast incorporation of optical flow into active polygons,” IEEE Transactions on Image Processing, 14 (6), 745-759 (June 2005)en_US
dc.identifier.issn1057-7149
dc.identifier.urihttp://hdl.handle.net/1853/48921
dc.description©2005 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.descriptionDOI: 10.1109/TIP.2005.847286en_US
dc.description.abstractIn this paper, we first reconsider, in a different light, the addition of a prediction step to active contour-based visual tracking using an optical flow and clarify the local computation of the latter along the boundaries of continuous active contours with appropriate regularizers.We subsequently detail our contribution of computing an optical flow-based prediction step directly from the parameters of an active polygon, and of exploiting it in object tracking. This is in contrast to an explicitly separate computation of the optical flow and its ad hoc application. It also provides an inherent regularization effect resulting from integrating measurements along polygon edges. As a result, we completely avoid the need of adding ad hoc regularizing terms to the optical flow computations, and the inevitably arbitrary associated weighting parameters. This direct integration of optical flow into the active polygon framework distinguishes this technique from most previous contour-based approaches, where regularization terms are theoretically, as well as practically, essential. The greater robustness and speed due to a reduced number of parameters of this technique are additional and appealing features.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectLevel-set methodsen_US
dc.subjectMotion estimationen_US
dc.subjectObject trackingen_US
dc.subjectOptical flowen_US
dc.subjectPolygon evolutionen_US
dc.subjectRegion-based active contouren_US
dc.titleFast incorporation of optical flow into active polygonsen_US
dc.typeArticleen_US
dc.contributor.corporatenameSiemens Corporate Research. Intelligent Vision and Reasoning Dept.en_US
dc.contributor.corporatenameNorth Carolina State University. Electrical and Computer Engineering Dept.en_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Electrical and Computer Engineeringen_US
dc.publisher.originalInstitute of Electrical and Electronics Engineersen_US
dc.identifier.doi10.1109/TIP.2005.847286


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record