关键词: 小生境遗传算法, Gabor特征, 支持向量机, 车辆检测

Abstract: A new vehicle detection method based on niche genetic algorithm conjoint with SVM and Gabor filter is presented.Fully taking account of the character that the model selection of SVM is close connection with the early feature extraction，the optimization of parameters of SVM and the Gabor filters are effectively combined.The fitness function is designed by using the classification accuracy，the penalty factor and the number of support vector.Training the model of SVM by using the niche genetic algorithm can effectively improve the classification accuracy of SVM，and reduce the number of features and the time complexity.Experimental results show that the average accuracy of vehicle detection is 98.675% and only 30 features are used.It is essential to meet the requirements of real-time.

Key words: niche genetic algorithm, Gabor feature, support vector machine, vehicle detection