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Active Scene Text Recognition for a Domestic Service Robot

  • José Antonio Álvarez Ruiz
  • Paul Plöger
  • Gerhard K. Kraetzschmar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7500)

Abstract

We developed a scene text recognition system with active vision capabilities, namely: auto-focus, adaptive aperture control and auto-zoom. Our localization system is able to delimit text regions in images with complex backgrounds, and is based on an attentional cascade, asymmetric adaboost, decision trees and Gaussian mixture models. We think that text could become a valuable source of semantic information for robots, and we aim to raise interest in it within the robotics community. Moreover, thanks to the robot’s pan-tilt-zoom camera and to the active vision behaviors, the robot can use its affordances to overcome hindrances to the performance of the perceptual task. Detrimental conditions, such as poor illumination, blur, low resolution, etc. are very hard to deal with once an image has been captured and can often be prevented. We evaluated the localization algorithm on a public dataset and one of our own with encouraging results. Furthermore, we offer an interesting experiment in active vision, which makes us consider that active sensing in general should be considered early on when addressing complex perceptual problems in embodied agents.

Keywords

Scene text recognition active vision domestic robot pan-tilt auto-zoom auto-focus adaptive aperture control 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • José Antonio Álvarez Ruiz
    • 1
  • Paul Plöger
    • 1
  • Gerhard K. Kraetzschmar
    • 1
  1. 1.Computer Science DepartmentUniversity of Applied Sciences Bonn-Rhine-SiegSankt AugustinGermany

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