Piecewise affine kernel tracking for non-planar targets

Brais Martinez, Xavier Binefa

Research output: Contribution to journalArticleResearchpeer-review

13 Citations (Scopus)

Abstract

Since the multiple kernel representation opened in tracking the possibility of representing several features of the target in the same model, tracking multiple features using kernel-based methods has received a great attention. In spite of these efforts, the formulation has been reduced to tracking planar targets or targets rotating inside a plane parallel to the image plane. The aim of this paper is to extend the multi-kernel tracking to cope with situations different to those. To this end, we consider the triangular mesh described by the centers of the kernels and we develop the estimation of a set of affine transforms, one at each mesh triangle, subject to the constraints that each affine transform of a triangle must be compatible with the affine transforms coming from contiguous triangles. The method is applied to sequences including face and car tracking. Results show an outperformance respect to previous kernel tracking methods, which generally work with a too restricted set of movements. © 2008 Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)3682-3691
JournalPattern Recognition
Volume41
Issue number12
DOIs
Publication statusPublished - 1 Dec 2008

Keywords

  • Kernel-based tracking
  • Multiple kernel
  • Parametric motion
  • SSD error
  • Visual tracking

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