A new approach of GPU accelerated visual tracking

Chuantao Zang, Koichi Hashimoto

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトルAdvanced Concepts for Intelligent Vision Systems - 12th International Conference, ACIVS 2010, Proceedings
ページ354-365
ページ数12
エディションPART 2
DOI
出版物ステータスPublished - 2010 12 1
イベント12th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2010 - Sydney, NSW, Australia
継続期間: 2010 12 132010 12 16

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 2
6475 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Other

Other12th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2010
Australia
Sydney, NSW
期間10/12/1310/12/16

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • これを引用

    Zang, C., & Hashimoto, K. (2010). A new approach of GPU accelerated visual tracking. : Advanced Concepts for Intelligent Vision Systems - 12th International Conference, ACIVS 2010, Proceedings (PART 2 版, pp. 354-365). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 6475 LNCS, 番号 PART 2). https://doi.org/10.1007/978-3-642-17691-3_33