Incorrect Feature Tracking Detection by Affine Space Fitting

• Takada Chika

  Toyohashi University of Technology

• Sugaya Yasuyuki

  Toyohashi University of Technology

抄録

We present a new method for detecting incorrect feature point tracking. In this paper, we detect incorrect feature point tracking by imposing the constraint that under the affine camera model feature trajectories should be in an affine space in the parameter space. Introducing a statistical model of image noise, we test detected partial trajectories are sufficiently reliable. Then we detect incorrect partial trajectories. Using real video images, we demonstrate that our proposed method can detect incorrect feature point tracking fairly well.

収録刊行物

• IPSJ Transactions on Computer Vision and Applications

  IPSJ Transactions on Computer Vision and Applications 1 174-182, 2009

  一般社団法人 情報処理学会

キーワード

• Computer Vision and Pattern Recognition

詳細情報

• CRID: 1390001205293406336
• NII論文ID: 130000123067
• NII書誌ID: AN00116647
• ISSN: 18827772
• ISSN: 18826695
• ISSN: 03875806
• DOI: 10.2197/ipsjtcva.1.174
• NDL書誌ID: 024319636
• Web Site: http://id.ndl.go.jp/bib/024319636
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I024319636
• Web Site: http://www.jstage.jst.go.jp/article/ipsjtcva/1/0/1_0_174/_pdf
• 本文言語コード: en
• データソース種別:
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  • NDL
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• 抄録ライセンスフラグ: 使用不可