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《Journal of Northern Jiaotong University》 2003-06
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An Improved Background Subtraction Using Adaptive Gaussian Mixture Models

WANG Liang_sheng, CHENG Yin_hang (School of Electronics and Information Engineering, Beijing JiaoTong University, Beijing 100044,China)  
The video vehicle detection technique is an important research field of ITS. Based on the features of video vehicle detection, this paper improves the method of background subtraction using adaptive Gaussian mixture models. These improvements include: background model matching uses only the luminance information; ranking Gaussian mixture models according to weight and variance; selecting background model using monocular depth information; making dynamic adjustment of sampling rate. The experiments show that the segment quality is good, and real_time performance is greatly improved.
【Fund】: 高等学校博士学科点专项科学基金资助项目(2000000413)
【CateGory Index】: U495
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