Optical Flow Estimation Combining Spatial-Temporal Derivatives Based Nonlinear Filtering

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概要

• 論文の詳細を見る

• This paper presents a novel filter to keep from over-smoothing the edges and corners and rectify the outliers in the flow field after each incremental computation step, which plays a key role during the process of estimating flow field. This filter works according to the spatial-temporal derivatives distance of the input image and velocity field distance, whose principle is more reasonable in filtering mechanism for optical flow than other existing nonlinear filters. Moreover, we regard the spatial-temporal derivatives as new powerful descriptions of different motion layers or regions and give a detailed explanation. Experimental results show that our proposed method achieves better performance.

• The Institute of Electronics, Information and Communication Engineersの論文

著者

• SHI Kaihong

  Shenzhen Key Lab. of Information Sci & Tech/Shenzhen Engineering Lab. of Information Security & DRM Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University

• LU Zongqing

  Shenzhen Key Lab. of Information Sci & Tech/Shenzhen Engineering Lab. of Information Security & DRM Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University

• SHE Qingyun

  Shenzhen Key Lab. of Information Sci & Tech/Shenzhen Engineering Lab. of Information Security & DRM Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University

• ZHOU Fei

  Shenzhen Key Lab. of Information Sci & Tech/Shenzhen Engineering Lab. of Information Security & DRM Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University

• LIAO Qingmin

  Shenzhen Key Lab. of Information Sci & Tech/Shenzhen Engineering Lab. of Information Security & DRM Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University

関連論文

• Optical Flow Estimation Combining Spatial-Temporal Derivatives Based Nonlinear Filtering

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