Japanese / English

Detail of Publication

Text Language Japanese
Authors Takuya Kobayashi, Takumi Toyama, Faisal Shafait, Masakazu Iwamura, Koichi Kise, Andreas Dengel
Title Recognizing Words in Scenes with a Head-Mounted Eye-Tracker
Journal Proceedings of the 10th IAPR International Workshop on Document Analysis Systems (DAS2012)
Pages pp.333-338
Location Gold Coast, Queensland, Australia
Reviewed or not Reviewed
Presentation type Poster
Month & Year March 2012
Abstract Recognition of scene text using a hand-held camera is emerging as a hot topic of research. In this paper, we investigate the use of a head-mounted eye-tracker for scene text recognition. An eye-tracker detects the position of the user’s gaze. Using gaze information of the user, we can provide the user with more information about his region/object of interest in a ubiquitous manner. Therefore, we can realize a service such as the user gazes at a certain word and soon obtain the related information of the word by combining a word recognition system with eye-tracking technology. Such a service is useful since the user has to do nothing but gazes at interested words. With a view to realize the service, we experimentally evaluate the effectiveness of using the eye-tracker for word recognition. The initial results show the recognition accuracy was around 70% in our word recognition experiment and the average computational time was less than one second per a query image.
DOI 10.1109/DAS.2012.74
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