Adaptive optimization to modified Ransac based motion segmentation (画像工学)

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概要

• 論文の詳細を見る

• In this paper, adaptive optimization methods to video sequence, which will apply to modified ransac based multiple independent motion segmentation on is discussed. Give that our system could run real-time computation, the speed continuity is a strong constraint to the following three points: 1) optical flow sampling 2) adaptive thresholds 3) motion continuity of both the camera and independent moving objects. From the next section, we discuss the corresponding solution to the above expecting improvements.

• 社団法人電子情報通信学会の論文
• 2007-03-12

著者

• Xie Yingdi

  Doctoral Student Of Global Information And Telecommunication Studies Waseda University Ohya Laborato

• OHYA Jun

  Faculty of GITS, Waseda University

• Ohya Jun

  Faculty Of Gits Waseda University

• Ohya Jun

  Faculty Of Global Information And Telecommunication Studies Waseda University Ohya Laboratory

関連論文

• A modified RANSAC based method for extracting primitive shapes from image (パターン認識・メディア理解)
• Multiple shapes extraction with guidance to random sampling (コンピュータビジョンとイメージメディア)
• Adaptive optimization to modified Ransac based motion segmentation (画像工学)
• Independent motion areas extraction from a modified RANSAC mechanism
• A modified RANSAC based method for extracting primitive shapes from image (ヒューマン情報処理)
• Multiple Shapes Extraction with Guidance to Random Sampling
• Multiple shapes extraction with guidance to random sampling (画像工学)

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