| Presentation | 2013-03-14 A study on a pedestrian detector adaptive to driving environment using in-vehicle camera and GPS Daichi SUZUO, Hidefumi YOSHIDA, Daisuke DEGUCHI, Ichiro IDE, Hiroshi MURASE, Takashi MACHIDA, Yoshiko KOJIMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, pedestrian detection from in-vehicle camera images is being focused. However, it is difficult to detect pedestrians accurately due to the variety of their appearances caused by various environmental factors. To deal with changes of driving environment, most existing appearance-based methods require the manual preparation of many pedestrian and non-pedestrian images. However, it is difficult to prepare training images considering all possible environmental factors. To tackle this problem, we propose a method to construct a pedestrian detector that is adaptive to driving environment by collecting non-pedestrian images automatically from in-vehicle camera video. The proposed method classifies driving scenes and then collects pedestrian images for each scene accompanied with GPS positions. We confirmed the effectiveness of the method compared to existing methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Pedestrian detection / Adaptive detector / ITS |
| Paper # | PRMU2012-190 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2013/3/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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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 study on a pedestrian detector adaptive to driving environment using in-vehicle camera and GPS |
| Sub Title (in English) | |
| Keyword(1) | Pedestrian detection |
| Keyword(2) | Adaptive detector |
| Keyword(3) | ITS |
| 1st Author's Name | Daichi SUZUO |
| 1st Author's Affiliation | Graduate School of Information Science, Nagoya University() |
| 2nd Author's Name | Hidefumi YOSHIDA |
| 2nd Author's Affiliation | Graduate School of Information Science, Nagoya University |
| 3rd Author's Name | Daisuke DEGUCHI |
| 3rd Author's Affiliation | Information and Communications Headquarters, Nagoya University |
| 4th Author's Name | Ichiro IDE |
| 4th Author's Affiliation | Graduate School of Information Science, Nagoya University |
| 5th Author's Name | Hiroshi MURASE |
| 5th Author's Affiliation | Graduate School of Information Science, Nagoya University |
| 6th Author's Name | Takashi MACHIDA |
| 6th Author's Affiliation | Toyota Central Research and Development Laboratories, Inc. |
| 7th Author's Name | Yoshiko KOJIMA |
| 7th Author's Affiliation | Toyota Central Research and Development Laboratories, Inc. |
| Date | 2013-03-14 |
| Paper # | PRMU2012-190 |
| Volume (vol) | vol.112 |
| Number (no) | 495 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |