Visual tracking with online discriminative learning

Se In Jang, Kwontaeg Choi, Youngsung Kim, Beom Seok Oh, Kar Ann Toh

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

2 Citations (Scopus)

Abstract

We treat tracking as a binary classification task in order to distinguish between an object to be tracked and the background. We propose to integrate an online learning based total-error-rate minimization method (OTER) with an observation model of particle filter for visual tracking. The particle filter is modeled using an affine dynamic model and an observation model. The observation model is constructed using the OTER classifier for binary pattern classification. The proposed method is empirically evaluated both qualitatively and quantitatively using several publicly available video sequences.

Original languageEnglish
Title of host publicationICICS 2011 - 8th International Conference on Information, Communications and Signal Processing
DOIs
Publication statusPublished - 2011 Dec 1
Event8th International Conference on Information, Communications and Signal Processing, ICICS 2011 - Singapore, Singapore
Duration: 2011 Dec 132011 Dec 16

Publication series

NameICICS 2011 - 8th International Conference on Information, Communications and Signal Processing

Other

Other8th International Conference on Information, Communications and Signal Processing, ICICS 2011
CountrySingapore
CitySingapore
Period11/12/1311/12/16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

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  • Cite this

    Jang, S. I., Choi, K., Kim, Y., Oh, B. S., & Toh, K. A. (2011). Visual tracking with online discriminative learning. In ICICS 2011 - 8th International Conference on Information, Communications and Signal Processing [6173536] (ICICS 2011 - 8th International Conference on Information, Communications and Signal Processing). https://doi.org/10.1109/ICICS.2011.6173536