Video figure ground labeling

Ali Elqursh, Ahmed Elgammal

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

Abstract

Figure-ground labeling is a classical problem in computer vision in which the goal is to label different parts of the visual input as figural or background. Yet most existing approaches focuses on single image figure-ground labeling with little emphasis on video. We present a method which integrates several cues to achieve figure-ground labeling on video sequences. The method is evaluated on challenging video sequences.

Original languageEnglish (US)
Title of host publicationICPR 2012 - 21st International Conference on Pattern Recognition
Pages2472-2475
Number of pages4
StatePublished - Dec 1 2012
Event21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan
Duration: Nov 11 2012Nov 15 2012

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Other

Other21st International Conference on Pattern Recognition, ICPR 2012
CountryJapan
CityTsukuba
Period11/11/1211/15/12

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'Video figure ground labeling'. Together they form a unique fingerprint.

  • Cite this

    Elqursh, A., & Elgammal, A. (2012). Video figure ground labeling. In ICPR 2012 - 21st International Conference on Pattern Recognition (pp. 2472-2475). [6460668] (Proceedings - International Conference on Pattern Recognition).