Selection of Unknown Objects Specified by Speech Using Models Constructed from Web Images

Nishimura, Hitoshi; Ozasa, Yuko; Ariki, Yasuo; Nakano, Mikio

doi:10.1109/icpr.2014.91

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2014

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“…An object is selected by integrating speech and image recognition results [2,1]. Given Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.…”

Section: Proposed Methodsmentioning

confidence: 99%

Selection of an Object Requested by Speech Based on Generic Object Recognition

Nishimura

Ozasa

Ariki

et al. 2014

Proceedings of the 2014 Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction

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In this paper, we propose a method that a robot can select an object specified by human speech among several objects based on generic object recognition. Although object selection methods have been proposed based on specific object recognition, generic object recognition is more useful for the selection in a real environment. In the proposed method, an object is selected by integrating speech recognition results and generic object recognition results. We investigated the relation between the method of narrowing down candidates based on speech and image recognition results and the object selection accuracy.

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Section: Proposed Methodsmentioning

confidence: 99%