The Improved Genetic Algorithm Used to Optimize Gabor Filters for Vehicle Detection

DOI

10.2991/iske.2007.4How to use a DOI?

Keywords

Vehicle detection, Gabor filter, Genetic algorithm, Support vector machine.

Abstract

Our focus in this paper is on using the improved Genetic Algorithm (IGA) to optimize Gabor filters for vehicle detection. The Gabor filters parameters are encoded in a chromosome and optimized using genetic operators. Considering the deficiency of the traditional crossover operator at global searching, the partheno-crossover operator, a new crossover operator, is proposed and used to improve GA. The objective is to build the specifically set of filters which are capable of responding stronger to vehicles than to nonvehicles. Compared with using general GA, the Gabor filter optimized by using the IGA allows better correct rate of vehicle detection.

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dajiang Jin
AU  - Lan Long
AU  - Jiye Zhang
PY  - 2007/10
DA  - 2007/10
TI  - The Improved Genetic Algorithm Used to Optimize Gabor Filters for Vehicle Detection
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 14
EP  - 18
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.4
DO  - 10.2991/iske.2007.4
ID  - Jin2007/10
ER  -