A new approach of GPU accelerated visual tracking

Chuantao Zang, Koichi Hashimoto

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

1 Citation (Scopus)

Abstract

In this paper a fast and robust visual tracking approach based on GPU acceleration is proposed. It is an effective combination of two GPU-accelerated algorithms. One is a GPU accelerated visual tracking algorithm based on the Efficient Second-order Minimization (GPU-ESM) algorithm. The other is a GPU based Scale Invariant Feature Transform (SIFT) algorithm, which is used in those extreme cases for GPU-ESM tracking algorithm, i.e. large image differences, occlusions etc. System performances have been greatly improved by our combination approach. We have extended the tracking region from a planar region to a 3D region. Translation details of both GPU algorithms and their combination strategy are described. System performances are evaluated with experimental data. Optimization techniques are presented as a reference for GPU application developers.

Original languageEnglish
Title of host publicationAdvanced Concepts for Intelligent Vision Systems - 12th International Conference, ACIVS 2010, Proceedings
Pages354-365
Number of pages12
EditionPART 2
DOIs
Publication statusPublished - 2010 Dec 1
Event12th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2010 - Sydney, NSW, Australia
Duration: 2010 Dec 132010 Dec 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6475 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2010
CountryAustralia
CitySydney, NSW
Period10/12/1310/12/16

Keywords

  • ESM
  • GPU
  • SIFT
  • Visual tracking

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Zang, C., & Hashimoto, K. (2010). A new approach of GPU accelerated visual tracking. In Advanced Concepts for Intelligent Vision Systems - 12th International Conference, ACIVS 2010, Proceedings (PART 2 ed., pp. 354-365). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6475 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-17691-3_33