Mixed-motion Segmentation Using Helmholtz Decomposition

• Item type: Trans(1)
• 公開日: 2013-07-29
• タイトル: Mixed-motion Segmentation Using Helmholtz Decomposition
• タイトル / 言語: en
• タイトル: Mixed-motion Segmentation Using Helmholtz Decomposition
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [Regular Paper - Express Paper] mixed-motion segmentation, potential surface, Helmholtz decomposition, surface segmentation
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University
• 著者所属: Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University
• 著者所属: Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University
• 著者名: Cuicui, Zhang; Xuefeng, Liang; Takashi, Matsuyama
• 著者名(英): Cuicui, Zhang; Xuefeng, Liang; Takashi, Matsuyama
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Motion estimation and segmentation poses challenges in dynamic scenarios where multiple motions are mixed up and interdependent. However, existing approaches in 2D motion field usually require the mixed motions to be independent. Algorithms incorporating 3D information have proven to be superior to purely 2D approaches in many studies. Inspired by this idea, we propose a new algorithm for evolving 3D potential surfaces using Helmholtz decomposition to represent 2D motion field. Meanwhile, a surface segmentation scheme is introduced to put different motions onto different layers, so that those interdependent motions can be separated and recovered efficiently. Unlike other approaches, our method does not require the prior knowledge of the motion model. The performance is demonstrated using real data under various complex scenarios.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Motion estimation and segmentation poses challenges in dynamic scenarios where multiple motions are mixed up and interdependent. However, existing approaches in 2D motion field usually require the mixed motions to be independent. Algorithms incorporating 3D information have proven to be superior to purely 2D approaches in many studies. Inspired by this idea, we propose a new algorithm for evolving 3D potential surfaces using Helmholtz decomposition to represent 2D motion field. Meanwhile, a surface segmentation scheme is introduced to put different motions onto different layers, so that those interdependent motions can be separated and recovered efficiently. Unlike other approaches, our method does not require the prior knowledge of the motion model. The performance is demonstrated using real data under various complex scenarios.
• 書誌情報: IPSJ Transactions on Computer Vision and Applications （CVA）; 巻 5, p. 55-59, 発行日 2013-07-29
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-6695
• 出版者 / 言語: ja
• 出版者: 情報処理学会