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Journal of Electronic Imaging

Boundary connectedness-based salient video object segmentation
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Paper Abstract

One of the most challenging tasks in computer vision is to emulate human cognitive ability to extract the salient object in a scene. We tackle the task of unsupervised salient video object segmentation using boundary connectedness and space-time salient regions. First, boundary prior measure is used to separate salient regions detected in both space and time. Then, background-foreground regions connectedness is computed and combined with appearance model via an iterative energy minimization framework to segment the salient moving object. For temporal consistency, the segmentation result of the current frame is used in addition to the optical flow and the boundary prior to segmenting the next frame. The experiments show a good performance of our algorithm for salient video object segmentation on benchmark datasets even in the presence of different challenges.

Paper Details

Date Published: 9 February 2018
PDF: 14 pages
J. Electron. Imag. 27(5) 051206 doi: 10.1117/1.JEI.27.5.051206
Published in: Journal of Electronic Imaging Volume 27, Issue 5
Show Author Affiliations
Hiba Ramadan, Univ. Sidi Mohamed Ben Abdellah (Morocco)
Hamid Tairi, Univ. Sidi Mohamed Ben Abdellah (Morocco)


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