| Project/Area Number |
25730114
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Perceptual information processing
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| Research Institution | Ritsumeikan University (2015-2016)
Osaka University (2013-2014) |
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Principal Investigator |
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| Project Period (FY) |
2013-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | ウェアラブルカメラ / モーションキャプチャ / 動的マーカ / AR / ウェアラブル / 姿勢推定 / 動的ARマーカ |
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| Outline of Final Research Achievements |
In this research, we propose a wearable camera-based pose estimation of a user’s body parts such as head and shoulders. The proposed system is mounted on a user’s chest and the camera observe user’s body parts directly. In the current implementation, the camera looks upward to observe head and shoulders region. The proposed method is based on histograms of orientated gradient (HoG) features and support vector regression (SVR). The preliminary experimental results demonstrate the effectiveness of the proposed method.
In addition, we also propose a method to achieve positions and poses of multiple cameras and temporal synchronization among them by using blinking calibration patterns for obtaining positions and poses of a wearable camera in environment. The proposed calibration patterns are based on pseudo random volumes (PRV). We believe our method is useful not only for multiple camera systems but also for AR applications for multiple users.
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