Moving vehicle segmentation in a dynamic background using self-adaptive kalman background method
Signal Processing and its Applications(2011)
摘要
This paper introduce the adaptive kalman filter to modeling dynamic background for background subtraction. Background subtraction is a method to identify object and famous used in moving object segmentation. In this paper we also investigate a comparison study on Gaussian subtraction method, frame differencing method and approximate median method. The detection of object will be shown in the result.
更多查看译文
关键词
kalman filters,adaptive filters,image motion analysis,image segmentation,gaussian subtraction method,adaptive kalman filter,approximate median method,background subtraction,dynamic background,frame differencing method,moving object segmentation,moving vehicle segmentation,self-adaptive kalman background method,adaptive kalman background subtraction method,mixture of gaussian method,noise,vehicle dynamics,mixture of gaussians,kalman filter
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络