Presentation | 2006-01-20 Vehicle Detection Using Snakes Method Hanako YAMASHIRO, Toshio ITO, Takenao OHKAWA, Takeshi OGIHARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we present a preceeding vehicle detection system with computer vision. This system focuses on the features of the vehicle in shading values and color information of the images, and detects the vehicle region from spatial-time characteristic by using an energy function based on a snakes method. We use four features of the vehicle such as symmetry, color information of red, smoothness of movement, and the lane geometry. A spatial energy is made by the evalution functions of symmetry and red. On the contrary a time energy is made by the evalution functions of smoothness of the movement and the lane geometry. The vehicle candidate region is converged by spatial-time energy by using snakes method. The effectiveness of this method was confirmed by the experiment. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Vehicle Detection / Snakes / ITS |
Paper # | PRMU2005-149,HIP2005-119 |
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Committee | PRMU |
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Conference Date | 2006/1/13(1days) |
Place (in Japanese) | (See Japanese page) |
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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 Using Snakes Method |
Sub Title (in English) | |
Keyword(1) | Vehicle Detection |
Keyword(2) | Snakes |
Keyword(3) | ITS |
1st Author's Name | Hanako YAMASHIRO |
1st Author's Affiliation | Computer and Systems Engineering, Kobe University() |
2nd Author's Name | Toshio ITO |
2nd Author's Affiliation | Daihatsu Motor Co., Ltd. |
3rd Author's Name | Takenao OHKAWA |
3rd Author's Affiliation | Computer and Systems Engineering, Kobe University |
4th Author's Name | Takeshi OGIHARA |
4th Author's Affiliation | Kouchi University of Technology |
Date | 2006-01-20 |
Paper # | PRMU2005-149,HIP2005-119 |
Volume (vol) | vol.105 |
Number (no) | 534 |
Page | pp.pp.- |
#Pages | 5 |
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