An object-based visual attention model for robotic applications

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
Yuanlong YuRaymond G Gosine

Abstract

By extending integrated competition hypothesis, this paper presents an object-based visual attention model, which selects one object of interest using low-dimensional features, resulting that visual perception starts from a fast attentional selection procedure. The proposed attention model involves seven modules: learning of object representations stored in a long-term memory (LTM), preattentive processing, top-down biasing, bottom-up competition, mediation between top-down and bottom-up ways, generation of saliency maps, and perceptual completion processing. It works in two phases: learning phase and attending phase. In the learning phase, the corresponding object representation is trained statistically when one object is attended. A dual-coding object representation consisting of local and global codings is proposed. Intensity, color, and orientation features are used to build the local coding, and a contour feature is employed to constitute the global coding. In the attending phase, the model preattentively segments the visual field into discrete proto-objects using Gestalt rules at first. If a task-specific object is given, the model recalls the corresponding representation from LTM and deduces the task-relevant feature(s) ...Continue Reading

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Citations

Aug 15, 2014·IEEE Transactions on Cybernetics·Ming Liang, Xiaolin Hu
Jul 31, 2013·IEEE Transactions on Cybernetics·Jianbing ShenXuelong Li
Jun 12, 2014·IEEE Transactions on Cybernetics·Zhen LiangDavid D Feng
Aug 20, 2014·IEEE Transactions on Cybernetics·Jin-Gang YuYihua Tan
Oct 13, 2012·IEEE Transactions on Cybernetics·Qi WangXuelong Li
Jun 13, 2013·IEEE Transactions on Cybernetics·Guokang ZhuPingkun Yan
Nov 26, 2013·IEEE Transactions on Cybernetics·Tom BotterillRichard Green
Nov 5, 2013·IEEE Transactions on Cybernetics·Hong QiaoPeng Wang
Apr 7, 2012·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Zhijun Zhang, Yunong Zhang
Dec 23, 2014·IEEE Transactions on Cybernetics·Hong QiaoFengfu Li
Sep 2, 2014·Frontiers in Computational Neuroscience·Rebeca MarfilAntonio Bandera
Mar 15, 2016·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Jin-Gang YuJinwen Tian

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