Object Detection Based on Spatio-temporal Light Field Sensing

• Shimada Atsushi

  Faculty of Information Science and Electrical Engineering, Kyushu University

• Nagahara Hajime

  Faculty of Information Science and Electrical Engineering, Kyushu University

• Taniguchi Rin-ichiro

  Faculty of Information Science and Electrical Engineering, Kyushu University

抄録

This paper discusses about object detection based on spatio-temporal light field sensing. Our proposed method generates an arbitrary in-focus plane in the surveillance scene, and the background region can be filtered out by out-focusing. A new feature representation, called Local Ray Pattern (LRP), is introduced to evaluate the spatial consistency of light rays. The combination of LRP and GMM-based background modeling realizes object detection on the in-focus plane. Experimental results demonstrate the effectiveness and applicability for video surveillance.

収録刊行物

• IPSJ Transactions on Computer Vision and Applications

  IPSJ Transactions on Computer Vision and Applications 5 (0), 129-133, 2013

  一般社団法人 情報処理学会

キーワード

• light field sensing
• Local Ray Pattern
• background modeling
• object detection

詳細情報

• CRID: 1390001205293174784
• NII論文ID: 130003369472
• DOI: 10.2197/ipsjtcva.5.129
• ISSN: 18826695
• Web Site: https://www.jstage.jst.go.jp/article/ipsjtcva/5/0/5_129/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可