Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICARCV.2012.6485322
Title: A color grouping method for detection of object regions based on local saliency
Authors: Jiayun, W.
Bin, L.K. 
Keywords: color grouping
saliency
segmentation
Issue Date: 2012
Source: Jiayun, W.,Bin, L.K. (2012). A color grouping method for detection of object regions based on local saliency. 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012 : 1165-1169. ScholarBank@NUS Repository. https://doi.org/10.1109/ICARCV.2012.6485322
Abstract: The detection of object regions based on local saliency has been with great interest in computer vision for its potential contributions to applications, such as recognition, because objects of interest could be contained in salient regions. However, regions are extracted from local salient locations by simple procedures without the global inference, resulting in poor segmentation of possible objects. In this paper, a two-strategy has been proposed to introduce local saliency into foreground subtraction, a color grouping method. By using only color information and no prior higher level knowledge about objects and scenes, multiple foreground regions are extracted simultaneously according to visual attention based salient locations. The prominence score is defined to further evaluate these regions for their possibility to contain objects of interest. © 2012 IEEE.
Source Title: 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012
URI: http://scholarbank.nus.edu.sg/handle/10635/73008
ISBN: 9781467318716
DOI: 10.1109/ICARCV.2012.6485322
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