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Proceedings Paper

Classification of vehicle's radiator grille using Fourier spectrum analysis
Author(s): Fa-wen Li; Xi-ying Li; Qian-yin Jiang
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Paper Abstract

The radiator grille is an important feature to distinguish the style of vehicle, and also helpful to the automatic recognition of vehicle type. The radiator grille image which is split from the vehicle face is treated as a texture image. By analyzing the Fourier spectrum of the radiator grille image , visual features are extracted. According to the visual features, radiator grilles are classified into different sorts, such as longitudinal or transverse. Compared with other feature extraction methods, the test result shows that the proposed method is effective for the accuracy reaches more than 80%.

Paper Details

Date Published: 19 December 2013
PDF: 8 pages
Proc. SPIE 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 90451W (19 December 2013); doi: 10.1117/12.2038170
Show Author Affiliations
Fa-wen Li, Sun Yat-sen Univ. (China)
Guangdong Provincial Key Lab. of Intelligent Transportation System (China)
Key Lab. of Video and Image Intelligent Analysis and Application Technology (China)
Xi-ying Li, Sun Yat-Sen Univ. (China)
Guangdong Provincial Key Lab. of Intelligent Transportation System (China)
Key Lab. of Video and Image Intelligent Analysis and Application Technology (China)
Qian-yin Jiang, Sun Yat-sen Univ. (China)
Guangdong Provincial Key Lab. of Intelligent Transportation System (China)
Key Lab. of Video and Image Intelligent Analysis and Application Technology (China)


Published in SPIE Proceedings Vol. 9045:
2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology
Xinggang Lin; Jesse Zheng, Editor(s)

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