Using text-spotting to query the world
Posner, Ingmar, Corke, P., & Newman, Paul (2010) Using text-spotting to query the world. In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems 2010, IEEE, Taipei International Convention Center, Taipei, pp. 3181-3186.
The world we live in is well labeled for the benefit
of humans but to date robots have made little use of this
resource. In this paper we describe a system that allows robots to read and interpret visible text and use it to understand the content of the scene. We use a generative probabilistic model that explains spotted text in terms of arbitrary search terms. This allows the robot to understand the underlying function of the scene it is looking at, such as whether it is a bank or a restaurant.
We describe the text spotting engine at the heart of our
system that is able to detect and parse wild text in images, and the generative model, and present results from images obtained with a robot in a busy city setting.
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|Item Type:||Conference Paper|
|Keywords:||Cityscape, Human Readable Text, Natural Science Images, Optical Character Recognition, Probabilistic Error Correction, Robots, Text Parsing, Text Spotting|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2010 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||09 May 2011 09:08|
|Last Modified:||01 Mar 2012 11:56|
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