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Computer Science ›› 2019, Vol. 46 ›› Issue (3): 48-52.doi: 10.11896/j.issn.1002-137X.2019.03.006

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Review of Bottom-up Salient Object Detection

WU Jia-ying1,YANG Sai1,2,DU Jun1,LIN Hong-da1   

  1. (School of Electrical Engineering,Nantong University,Nantong,Jiangsu 226019,China)1
    (Nantong Research Institute for Advanced Communication Technologies,Nantong,Jiangsu 226019,China)2
  • Received:2018-03-13 Revised:2018-07-12 Online:2019-03-15 Published:2019-03-22

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Abstract: This paper reviewed the current development status at home and abroad in the field of salient object detection.Firstly,this paper introduced the research background and development process of salient object detection.Then,aiming at the difference of the features used by each saliency model,it summarized the saliency calculation from two aspects of hand-crafted features and deep learning features.While the saliency calculation based on hand-crafted features are addressed,it is further classified into the following three subcategories,i.e.the saliency calculation based on contrast prior,the saliency calculation based on foreground prior,and the saliency calculation based on back ground prior.Meanwhile,this paper elaborated the basic ideas of saliency modeling in each subcategory.Finally,it discussed the problems to be solved and further research directions of salient object detection.

Key words: Salient object detection, Saliency prior, Deep learning, Fusion of saliency maps

CLC Number: 

  • TP391
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