Car recognition using Gabor filter feature extraction

Author

Lim, T.R. ; Guntoro, A.T.

Author_Institution

Electr. Eng. Dept., Petra Christian Univ., Surabaya, Indonesia

Volume

2

fYear

2002

fDate

2002

Firstpage

451

Abstract

This paper describes a car recognition system using a camera as sensor to recognize a moving car. There are four main stages in this process: object detection, object segmentation, feature extraction using Gabor filters and Gabor jet matching to the car database. The experiment was conducted for various types of car with various illuminations (daylight and night). The result shows that Gabor filter responses give good feature representation. The system achieved an average recognition rate of 93.88%.

Keywords

automobiles; feature extraction; image recognition; image representation; image segmentation; motion estimation; object detection; object recognition; pattern matching; Gabor filter feature extraction; Gabor filter responses; Gabor jet matching; average recognition rate; camera sensor; car database; car recognition system; daylight; feature representation; illumination; moving car; night lighting conditions; object detection; object segmentation; Cameras; Equations; Feature extraction; Gabor filters; Histograms; Image converters; Low pass filters; Object detection; Object segmentation; Pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2002. APCCAS '02. 2002 Asia-Pacific Conference on

Print_ISBN

0-7803-7690-0

Type

conf

DOI

10.1109/APCCAS.2002.1115299

Filename

1115299