Closed-loop adaptation for robust tracking

Jialue Fan*, Xiaohui Shen, Ying Wu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

Model updating is a critical problem in tracking. Inaccurate extraction of the foreground and background information in model adaptation would cause the model to drift and degrade the tracking performance. The most direct but yet difficult solution to the drift problem is to obtain accurate boundaries of the target. We approach such a solution by proposing a novel closed-loop model adaptation framework based on the combination of matting and tracking. In our framework, the scribbles for matting are all automatically generated, which makes matting applicable in a tracking system. Meanwhile, accurate boundaries of the target can be obtained from matting results even when the target has large deformation. An effective model is further constructed and successfully updated based on such accurate boundaries. Extensive experiments show that our closed-loop adaptation scheme largely avoids model drift and significantly outperforms other discriminative tracking models as well as video matting approaches.

Original languageEnglish (US)
Title of host publicationComputer Vision, ECCV 2010 - 11th European Conference on Computer Vision, Proceedings
PublisherSpringer Verlag
Pages411-424
Number of pages14
EditionPART 1
ISBN (Print)3642155480, 9783642155482
DOIs
StatePublished - Jan 1 2010
Event11th European Conference on Computer Vision, ECCV 2010 - Heraklion, Crete, Greece
Duration: Sep 10 2010Sep 11 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6311 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th European Conference on Computer Vision, ECCV 2010
CountryGreece
CityHeraklion, Crete
Period9/10/109/11/10

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Fan, J., Shen, X., & Wu, Y. (2010). Closed-loop adaptation for robust tracking. In Computer Vision, ECCV 2010 - 11th European Conference on Computer Vision, Proceedings (PART 1 ed., pp. 411-424). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6311 LNCS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-642-15549-9_30