Recognizing Words in Scenes with a Head-Mounted Eye-Tracker
| Language | Japanese |
|---|---|
| Type | Proceedings of International Conferences |
| 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 | Reviewed |
| Presentation type | Poster |
| Date | March 2012 |
| Research fields | Document Image Analysis, Pattern recognition |
| DOI | 10.1109/DAS.2012.74 |
| Key | Kobayashi2012 (id=1263) |
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.
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