Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV

Markus Unger, Thomas Mauthner, Thomas Pock, Horst Bischof

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Original languageEnglish
Title of host publicationEnergy Minimization Methods in Computer Vision and Pattern Recognition
PublisherSpringer
Pages193-206
Volume5681
Publication statusPublished - 2009
EventIEEE Conference on Computer Vision and Pattern Recognition (CVPR '09) - Miami Beach, Florida, United States
Duration: 20 Jun 200925 Jun 2009

Publication series

NameLecture Notes in Computer Science
PublisherSpringer

Conference

ConferenceIEEE Conference on Computer Vision and Pattern Recognition (CVPR '09)
CountryUnited States
CityMiami Beach, Florida
Period20/06/0925/06/09

Cite this

Unger, M., Mauthner, T., Pock, T., & Bischof, H. (2009). Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV. In Energy Minimization Methods in Computer Vision and Pattern Recognition (Vol. 5681, pp. 193-206). (Lecture Notes in Computer Science). Springer.