Note: A manifold ranking based saliency detection method for camera

Research focused on salient object region in natural scenes has attracted a lot in computer vision and has widely been used in many applications like object detection and segmentation. However, an accurate focusing on the salient region, while taking photographs of the real-world scenery, is still a...

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Bibliographic Details
Published in:Review of scientific instruments 2016-09, Vol.87 (9), p.096103-096103
Main Authors: Zhang, Libo, Sun, Yihan, Luo, Tiejian, Rahman, Mohammad Muntasir
Format: Article
Language:English
Subjects:
Computer vision
Image segmentation
Object recognition
Ranking
Salience
Scientific apparatus & instruments
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Summary:Research focused on salient object region in natural scenes has attracted a lot in computer vision and has widely been used in many applications like object detection and segmentation. However, an accurate focusing on the salient region, while taking photographs of the real-world scenery, is still a challenging task. In order to deal with the problem, this paper presents a novel approach based on human visual system, which works better with the usage of both background prior and compactness prior. In the proposed method, we eliminate the unsuitable boundary with a fixed threshold to optimize the image boundary selection which can provide more precise estimations. Then, the object detection, which is optimized with compactness prior, is obtained by ranking with background queries. Salient objects are generally grouped together into connected areas that have compact spatial distributions. The experimental results on three public datasets demonstrate that the precision and robustness of the proposed algorithm have been improved obviously.
ISSN:0034-6748
1089-7623
DOI:10.1063/1.4963308