A new Histogram Oriented Moments descriptor for multi-oriented moving text detection in video

作者：

Highlights：

• Histogram Oriented Moments (HOM) is proposed for text detection in videos.

• The HOM finds orientations using second order geometrical moments.

• A new hypothesis based on the dominant orientations of connected component proposed.

• To detect the moving text, we explore optical flow properties.

• Moving caption is selected based on constant velocity and uniform direction.

摘要

•Histogram Oriented Moments (HOM) is proposed for text detection in videos.•The HOM finds orientations using second order geometrical moments.•A new hypothesis based on the dominant orientations of connected component proposed.•To detect the moving text, we explore optical flow properties.•Moving caption is selected based on constant velocity and uniform direction.

论文关键词：Central moments,Histogram Oriented Moments,Histogram Oriented Gradients,Video text detection,Optical flow,Moving caption text detection

论文评审过程：Available online 6 June 2015, Version of Record 24 June 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.06.002