Salient object detection using array images

Tingtian Li, Daniel P.K. Lun

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Most existing saliency detection methods utilize low- level features to detect salient objects. In this paper, we first verify that the foreground objects in the scene can be an effective cue for saliency detection. We then propose a novel saliency detection algorithm which combines low level features with high level object detection results to enhance the performance. For extracting the foreground objects in a scene, we first make use of a camera array to obtain a set of images of the scene from different viewing angles. Based on the array images, we identify the feature points of the objects so as to generate the foreground and background feature point cues. Together with a new K-Nearest Neighbor model, a cost function is developed to allow a reliable and automatic segmentation of the foreground objects. The outliers in the segmentation are further removed by a low-rank decomposition method. Finally, the detected objects are fused with the low-level object features to generate the saliency map. Experimental results show that the proposed algorithm consistently gives a better performance compared to the traditional methods.

Original languageEnglish
Title of host publicationProceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages300-303
Number of pages4
ISBN (Electronic)9781538615423
DOIs
Publication statusPublished - 12 Dec 2017
Event9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 - Kuala Lumpur, Malaysia
Duration: 12 Dec 201715 Dec 2017

Publication series

NameProceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
Volume2018-February

Conference

Conference9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
CountryMalaysia
CityKuala Lumpur
Period12/12/1715/12/17

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Information Systems
  • Signal Processing

Cite this