Goal-oriented top-down probabilistic visual attention model for recognition of manipulated objects in egocentric videos

作者：

Highlights：

• We propose a new top down probabilistic saliency model for egocentric video content.

• Top-down saliency maps focused on manipulated objects based on the arms positions.

• Psycho-visual experiment conducted demonstrating our proposal increased performances over SOA saliency models.

• SOA performances in manipulated object recognition for this dataset.

摘要

Highlights•We propose a new top down probabilistic saliency model for egocentric video content.•Top-down saliency maps focused on manipulated objects based on the arms positions.•Psycho-visual experiment conducted demonstrating our proposal increased performances over SOA saliency models.•SOA performances in manipulated object recognition for this dataset.

论文关键词：Saliency maps,Egocentric vision,Object recognition,Vision modelling,Image processing,Video processing

论文评审过程：Available online 3 June 2015, Version of Record 18 November 2015.

论文官网地址：https://doi.org/10.1016/j.image.2015.05.006