Salient object detection employing a local tree-structured low-rank representation and foreground consistency

作者：

Highlights：

• A local tree-structured low-rank representation (TS-LRR) model for salient object detection is introduced.

• The foreground consistency within potential foreground regions is considered.

• A primitive background dictionary is constructed for the proposed model.

• Experimental results on public datasets demonstrate the effectiveness of the proposed model over the state-of-the-art methods.

摘要

•A local tree-structured low-rank representation (TS-LRR) model for salient object detection is introduced.•The foreground consistency within potential foreground regions is considered.•A primitive background dictionary is constructed for the proposed model.•Experimental results on public datasets demonstrate the effectiveness of the proposed model over the state-of-the-art methods.

论文关键词：Salient object detection,Structured low-rank representation,Background dictionary,Foreground consistency

论文评审过程：Received 7 September 2018, Revised 27 February 2019, Accepted 23 March 2019, Available online 23 March 2019, Version of Record 29 March 2019.

论文官网地址：https://doi.org/10.1016/j.patcog.2019.03.023