Presentation 2002/1/11
Car Detection from An Image with Gabor Transformation
Atsushi IWAI, Haiyuan WU, Tadayoshi SHIOYAMA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a method for detecting cars from an image. At first, using Gabor filters that can extract frequency elements of any direction, the intensity of an input image is transformed into Gabor energies which has information about spatial extent and direction of the objects. Normalized Gabor energies and color information of an input image are used for segmentation of the image into each part with pixels having similar characteristics, and vehicles are detected with the information of the segmented image.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Gabor transformation / Car detection / Direction / Color data / Segmentation
Paper # 2001-PRMU-211
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Conference Information
Committee PRMU
Conference Date 2002/1/11(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Car Detection from An Image with Gabor Transformation
Sub Title (in English)
Keyword(1) Gabor transformation
Keyword(2) Car detection
Keyword(3) Direction
Keyword(4) Color data
Keyword(5) Segmentation
1st Author's Name Atsushi IWAI
1st Author's Affiliation Graduate School of Science and Technology Kyoto Institute of Technology()
2nd Author's Name Haiyuan WU
2nd Author's Affiliation Graduate School of Science and Technology Kyoto Institute of Technology
3rd Author's Name Tadayoshi SHIOYAMA
3rd Author's Affiliation Graduate School of Science and Technology Kyoto Institute of Technology
Date 2002/1/11
Paper # 2001-PRMU-211
Volume (vol) vol.101
Number (no) 569
Page pp.pp.-
#Pages 8
Date of Issue