Presentation | 2006/1/3 Car Location Matching Using Front & Side-View and GPS Data(International Workshop on Advanced Image Technology 2006) Takayuki Ishikawa, Toshihiko Yamasaki, Kiyoharu Aizawa, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently, cars are equipped with a lot of sensors for safety driving. The purposes of this paper are to store the driving-scene videos with such sensor data and to detect the change of the scenery of the streets, which can be used for building town scenery database, automatic landmark updating of maps, and so forth. For these purposes, image retrieval taken at the identical locations is fundamental processing. Since GPS data essentially contains some noise, they are not suitable for exact location detection. Therefore, we have developed edge-based image feature representation for robust search. By combining GPS data, search area in the database has been reduced drastically and the search accuracy has been improved (up to over 80%). In this paper, change detection of the scenery is also discussed. |
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Paper # | IE2005-245 |
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Committee | IE |
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Conference Date | 2006/1/3(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Image Engineering (IE) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Car Location Matching Using Front & Side-View and GPS Data(International Workshop on Advanced Image Technology 2006) |
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1st Author's Name | Takayuki Ishikawa |
1st Author's Affiliation | Department of Frontier Informatics, Graduate School of Frontier Sciences The University of Tokyo() |
2nd Author's Name | Toshihiko Yamasaki |
2nd Author's Affiliation | Department of Frontier Informatics, Graduate School of Frontier Sciences The University of Tokyo |
3rd Author's Name | Kiyoharu Aizawa |
3rd Author's Affiliation | Department of Frontier Informatics, Graduate School of Frontier Sciences The University of Tokyo |
Date | 2006/1/3 |
Paper # | IE2005-245 |
Volume (vol) | vol.105 |
Number (no) | 501 |
Page | pp.pp.- |
#Pages | 5 |
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