| Presentation | 2003/1/9 Vehicle Detection from An Image with Gabor Transformation Atsushi IWAI, Tadayoshi SHIOYAMA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes a method for detecting vehicles from an image. At first, using Gabor filters that can extract frequency elements of any direction, the intensities of an input image are transformed into Gabor energies which has information about spatial extent and direction of the objects. Gabor energies and color information of an input image are used segmentation of the image. Vehicles are detected with the information of the segmented image and Affine invariants. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Gabor transformation / Vehicle detection / Color data / Segmentation / Affine invarinats |
| Paper # | PRMU2002-173 |
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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) |
| Topics (in English) | |
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| Vice Chair | |
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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) | Vehicle Detection from An Image with Gabor Transformation |
| Sub Title (in English) | |
| Keyword(1) | Gabor transformation |
| Keyword(2) | Vehicle detection |
| Keyword(3) | Color data |
| Keyword(4) | Segmentation |
| Keyword(5) | Affine invarinats |
| 1st Author's Name | Atsushi IWAI |
| 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 # | PRMU2002-173 |
| Volume (vol) | vol.102 |
| Number (no) | 554 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |