| Presentation | 2003/1/9 A Method of Personal Positioning Based on Sensor Data Fusion of a Wearable Camera and Self-Contained Sensors Masakatsu Kourogi, Takeshi Kurata, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a method of personal positioning that uses images taken from a wearable camera and data from self-contained sensors attached to the user through Kalman filter as a data fusion mechanism. The proposed method estimates the user's position and direction by image registration between the images and a set of images captured at various points of environment beforehand as a database. It updates the estimation of the user's position and direction with pedestrian dead-reckoning by detecting unit cycle of walking behavior of the user and by estimating the heading direction of the body with the self-contained sensors. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | personal positioning / sensor fusion / image registration / dead-reckoning / pedometry |
| Paper # | PRMU2002-180 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2003/1/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Method of Personal Positioning Based on Sensor Data Fusion of a Wearable Camera and Self-Contained Sensors |
| Sub Title (in English) | |
| Keyword(1) | personal positioning |
| Keyword(2) | sensor fusion |
| Keyword(3) | image registration |
| Keyword(4) | dead-reckoning |
| Keyword(5) | pedometry |
| 1st Author's Name | Masakatsu Kourogi |
| 1st Author's Affiliation | National Institute of Advanced Industrial Science and Technology (AIST)() |
| 2nd Author's Name | Takeshi Kurata |
| 2nd Author's Affiliation | National Institute of Advanced Industrial Science and Technology (AIST) |
| Date | 2003/1/9 |
| Paper # | PRMU2002-180 |
| Volume (vol) | vol.102 |
| Number (no) | 554 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |