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Query-based Visual Attention Algorithm for Object Recognition of A Mobile Robot  

Ryu, Gwang-Geun (College of Information and Communications, Hanyang University)
Lee, Sang-Hoon (Advanced IT Education Program on Industrial Demand, a Part of Brain Korea 21 Project at Hanyang University)
Suh, Il-Hong (College of Information and Communications, Hanyang University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.44, no.1, 2007 , pp. 50-58 More about this Journal
Abstract
In this paper, we propose a query-based visual attention algorithm for effective object finding of a vision-based mobile robot. This algorithm is developed by extending conventional bottom-up visual attention algorithms. In our proposed algorithm various conspicuity maps are merged to make a saliency map, where weighting values are determined by query-dependent object properties. The saliency map is then used to find possible attentive location of queried object. To show the validities of our proposed algorithm, several objects are employed to compare performances of our proposed algorithm with those of conventional bottom-up approaches. Here, as one of exemplar query-dependent object property, color property is used.
Keywords
Visual Attention; Object Recognition; Mobile Robot; Attentive Image Feature;
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