关键词: 城市车辆检测, 非参核密度模型, 噪声去除, 目标提取

Abstract: Based on the probabilities analysis and mathematical morphology operation，a new traffic target extraction and denoising algorithm is proposed.Nonparametric kernel density estimation is employed to build the background model and extract the foreground object by getting the probabilities of gray level on each pixel.The probabilities of foreground object are calculated to distinguish whether it is caused by the motion of vehicles or the fluttering of the leaves and the noise is removed by the comparison of the probabilities.The treated image is denoised further by the applying of mathematical morphology.The experiment results show that the algorithm can effectively separate vehicle target from noises，remove the noises caused by the fluttering of leaves，and extract the target correctly with good noise proof feature.

Key words: city vehicle detection, nonparametric kernel density model, denoise, target extraction