Road Region Detection in Video System

Author

Chi Jian-nan ; Zhou Nan-nan ; Zhang Peng-yi ; Zheng Si-yi

Author_Institution

Inf. Eng. Sch., Univ. of Sci. & Technol. Beijing, Beijing, China

Volume

4

fYear

2009

fDate

19-21 May 2009

Firstpage

500

Lastpage

507

Abstract

In this paper, image multi-scale edge detection based on anti-symmetrical wavelet is given detailed in theory. Namely convolution operation property which anti-symmetrical wavelet transform bears is deduced, and function of which anti-symmetrical biorthogonal wavelet transform works as differential operator is analyzed. Algorithm of wavelet decomposition in which multi-scale edge can be detected is put forward. Based on above, a road region detection method in video system is put forward. Using multi-scale edge image of anti-symmetrical wavelet decomposition region growth is applied to identify road area roughly. Then borderline of road is extracted using Hough transformation and road region is defined finally. Experimental results indicate that the method presented in the paper is effective.

Keywords

Hough transforms; convolution; edge detection; feature extraction; roads; video signal processing; wavelet transforms; Hough transformation; antisymmetrical biorthogonal wavelet transform; convolution operation property; differential operator; image multiscale edge detection; region growth; road region detection method; video system; wavelet decomposition; Convolution; Data mining; Image edge detection; Image segmentation; Intelligent systems; Pattern recognition; Roads; Video surveillance; Wavelet analysis; Wavelet transforms; Hough transformation; Multi-scale edge detection; Region growing; Road region detection; Symmetrical biorthogonal wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems, 2009. GCIS '09. WRI Global Congress on

Conference_Location

Xiamen

Print_ISBN

978-0-7695-3571-5

Type

conf

DOI

10.1109/GCIS.2009.339

Filename

5209235