文章基本信息

标题：Efficient Target Object Localization Model Based on Biologically Motivated Visual Selective Attention
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作者：Jaeho Oh ; Chang-Beom Kwon ; Sang-Woo Ban 等
期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2016
卷号：11
期号：7
页码：205-218
DOI：10.14257/ijmue.2016.11.7.21
出版社：SERSC
摘要：This work proposes a novel biologically motivated visual selective attention model for efficient visual searching, which is implemented by integrating three attention mechanisms: bottom-up attention, top-down attention, and spatial attention. Bottom-up attention generates salient locations by reflecting top-down biases as well as three primitive visual features: intensity, edge and color. Prototype-based object perception is proposed for top-down attention, in which a 3-D color histogram is applied to generate a prototype of the target object. And experience based spatial attention can determine acceleration to localize a target object, which is modeled by using memorized spatial location information updated by object-localization experience. In order to verify the performance of the proposed visual selective attention model, we apply the proposed model to a real application in pedestrian traffic signal detection, to be utilized as part of a blind guide system. The proposed selective attention model shows plausible performance in terms of accuracy and computation time while efficiently localizing pedestrian traffic signals.
关键词：Visual selective attention; Saliency map; Bottom-up attention; Top-down ; attention; Spatial attention; The blind guide system