Presentation | 2003/1/9 Detection of Pedestrian Crossing from An Image Sugruru KITAWAKI, Tadayoshi SHIOYAMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | For the purpose of assisting for the blind to cross a pedestrian crossing alone in safety, we have estimated the distance between an endline of the pedestrian crossing and the observer by using the image data under the assumption that the blind is in front of the pedestrian crossing. This presents a method for detecting the pedestrian crossing as pre-processing of length estimation. First, segmentation is performed by using gabor energy in a grayscale image and the color information of the input image, and a candidate region of the pedestrian crossing is extracted. Next, in order to detect the pedestrian crossing, we check the periodicity of the white line at the pedestrian crossing by calculating a projective invariant in extracted candidate region. Experimental results based on this proposal method are given by using many real images. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Detection of pedestrian crossing / Image data / The blind / Gabor energy / Projective invariant |
Paper # | PRMU2002-174 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2003/1/9(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Detection of Pedestrian Crossing from An Image |
Sub Title (in English) | |
Keyword(1) | Detection of pedestrian crossing |
Keyword(2) | Image data |
Keyword(3) | The blind |
Keyword(4) | Gabor energy |
Keyword(5) | Projective invariant |
1st Author's Name | Sugruru KITAWAKI |
1st Author's Affiliation | Graduate School of Science and Technology, Kyoto Institute of technology() |
2nd Author's Name | Tadayoshi SHIOYAMA |
2nd Author's Affiliation | Graduate School of Science and Technology, Kyoto Institute of Technology |
Date | 2003/1/9 |
Paper # | PRMU2002-174 |
Volume (vol) | vol.102 |
Number (no) | 554 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |