关键词: 车辆检测, Gabor滤波器, 量子进化算法, 支持向量机

Abstract: A new method is proposed to extract candidate regions from video images.In this method，video image is converted into HSV space，the red areas of video images are extracted by H components and horizontal edge of vehicle’s bottom by V components，then the candidate regions of vehicle can be determined by these two components.At the same time，optimized Gabor filters group is used to extract the characteristics of candidate regions，supported vector machine is used to train and recognize the selected characteristics.The filter group is improved by Quantum Evolutionary Algorithm（QEA），and niche cooperation evolution algorithm is introduced at this，also the improved filter group is clustered to reduce redundancy.Experiments show that this method is more accurate and faster，the improved Quantum Evolutionary Algorithm converges rapidly，so the optimal solution can be found quickly.

Key words: vehicle detection, Gabor filter, Quantum Evolutionary Algorithm（QEA）, Support Vector Machine（SVM）