Recognizing Words in Scenes with a Head-Mounted Eye-Tracker
| 言語 | 日本語 |
|---|---|
| 種類 | 国際会議等の予稿 |
| 著者 | Takuya Kobayashi, Takumi Toyama, Faisal Shafait, Masakazu Iwamura, Koichi Kise, Andreas Dengel |
| 論文名 | Recognizing Words in Scenes with a Head-Mounted Eye-Tracker |
| 論文誌名 | Proceedings of the 10th IAPR International Workshop on Document Analysis Systems (DAS2012) |
| ページ | pp.333-338 |
| 発表場所 | Gold Coast, Queensland, Australia |
| 査読の有無 | 有 |
| 発表の種類 | ポスター発表 |
| 年月 | 2012年3月 |
| 分野 | 文書画像解析, パターン認識 |
| DOI | 10.1109/DAS.2012.74 |
| キー | Kobayashi2012 (id=1263) |
要約
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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