A New Model of Visual Attention Selection Based on Amplitude Modulation Fourier Transform
In this paper, a new approach for visual attention selection called Amplitude Modulation Fourier Transform is proposed, which is based on two up-to-date works: Spectral Residual model (SR) and Phase Fourier Transform (PFT). We try to explore the nature of AMFT by analyzing its intrinsic mechanism and summarizing its merits and disadvantages. We also propose a new attention selection method called Multi-Channel and Multi-Scale Amplitude Modulation (MCMSAM). For proving the advantage of MCMSAM, we design several simulations to compare our model with Spectral Residual Model, Phase Fourier Transform and traditional Saliency ToolBox.
Attention Selection Saliency Map Fourier Transform Spectral Residual Phase Fourier Transform Saliency ToolBoz
Dongyue Chen Chengdong Wu
School of Information Science and Engineering, Northeastern University, Shenyang 110004
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
4617-4622
2009-06-17(万方平台首次上网日期,不代表论文的发表时间)