Effects of texture addition on optical flow performance in images with poor texture
作者：
Highlights：
• An initial step for optical flow estimation in poorly-textured images is proposed.
• The simple yet effective step preserves motion boundaries where other methods fail.
• The proposed algorithm reduces computation time meaningfully.
• Mathematical analysis is employed to explain the advantages provided.
• Quantitative measures have been introduced to assess the performance.
摘要
•An initial step for optical flow estimation in poorly-textured images is proposed.•The simple yet effective step preserves motion boundaries where other methods fail.•The proposed algorithm reduces computation time meaningfully.•Mathematical analysis is employed to explain the advantages provided.•Quantitative measures have been introduced to assess the performance.
论文关键词：Optical flow,Poor texture,Foreground detection,Laws' masks,F-measure,Boundary displacement error,Condition number
论文评审过程：Received 5 May 2014, Revised 15 March 2015, Accepted 28 April 2015, Available online 26 May 2015, Version of Record 8 June 2015.
论文官网地址：https://doi.org/10.1016/j.imavis.2015.04.008
