Scene text detection and tracking for a camera-equipped wearable reading assistant for the blind

Faustin Pégeot, Hideaki Goto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Visually impaired people suffer daily from their disability to read textual information. One of the most anticipated blind-assistive devices is a system equipped with a wearable camera capable of finding the textual information in natural scenes and translating it into sound through a speech synthesizer. To avoid duplicate readings, the device should be able to recognize text areas with the same content, and group them to obtain a single result. Scene text detection and tracking methods attract a lot of interest for these purposes. However, this field is still challenging and methods of scene text detection and tracking are yet to be perfected. This paper proposes a scene text tracking system capable of finding text regions and tracking them in video frames captured by a wearable camera. By combining a text detection method with a feature point tracker, we obtain a robust text tracker which produces much less false positive text images at 2.9 times faster speed compared with the conventional method.

Original languageEnglish
Title of host publicationComputer Vision - ACCV 2012 International Workshops, Revised Selected Papers
Pages454-463
Number of pages10
EditionPART 2
DOIs
Publication statusPublished - 2013 Apr 15
Event11th Asian Conference on Computer Vision, ACCV 2012 - Daejeon, Korea, Republic of
Duration: 2012 Nov 52012 Nov 6

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7729 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th Asian Conference on Computer Vision, ACCV 2012
CountryKorea, Republic of
CityDaejeon
Period12/11/512/11/6

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Pégeot, F., & Goto, H. (2013). Scene text detection and tracking for a camera-equipped wearable reading assistant for the blind. In Computer Vision - ACCV 2012 International Workshops, Revised Selected Papers (PART 2 ed., pp. 454-463). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7729 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-37484-5_37