| Presentation | 2007-03-15 Accurate change detection in streetscapes using car-mounted omni-directional images Junji SATO, Tomokazu TAKAHASHI, Ichiro IDE, Hiroshi MURASE, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | As a part of ITS technology, techniques that realize quick update of street map are required. We have previously proposed a method for detecting changes in streetscapes from images captured by car-mounted omni-directional cameras. It comprises two stages; construction of a street image map that relates accurately a map position to a street image taken from the position at different times, and detection of changes in streetscapes from the street image map. To collect images at various times and routes, many cars equipped with a low-cost camera and a general GPS device run freely. In the second stage (detection of changes), a method that we have previously developed detects changes in streetscapes using differences of pixel values between images captured at the same position. This method, however, had many false detections, because of illumination changes. Focusing on the fact that streetscapes vary depending on the time of a day, we propose a new method taht uses correlation between image change and time change. Experiments with 44 data items collected during one year, demonstrate the effectiveness of the new method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | omni-directional image / eigenspace method / DP matching |
| Paper # | PRMU2006-250 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2007/3/8(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) | Accurate change detection in streetscapes using car-mounted omni-directional images |
| Sub Title (in English) | |
| Keyword(1) | omni-directional image |
| Keyword(2) | eigenspace method |
| Keyword(3) | DP matching |
| 1st Author's Name | Junji SATO |
| 1st Author's Affiliation | Graduate School of Information Science, Nagoya University() |
| 2nd Author's Name | Tomokazu TAKAHASHI |
| 2nd Author's Affiliation | Graduate School of Information Science, Nagoya University |
| 3rd Author's Name | Ichiro IDE |
| 3rd Author's Affiliation | Graduate School of Information Science, Nagoya University |
| 4th Author's Name | Hiroshi MURASE |
| 4th Author's Affiliation | Graduate School of Information Science, Nagoya University |
| Date | 2007-03-15 |
| Paper # | PRMU2006-250 |
| Volume (vol) | vol.106 |
| Number (no) | 605 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |