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一种基于目标定位的背景建模与视觉跟踪方法
引用本文:张博,申铉京.一种基于目标定位的背景建模与视觉跟踪方法[J].吉林大学学报(理学版),2010,48(4):617-623.
作者姓名:张博  申铉京
作者单位:吉林大学 计算机科学与技术学院, 长春 130012
摘    要:提出一种基于目标定位的背景建模方法,通过对视频序列中运动目标的位置进行预估,将前景点与背景点初步分离,进而构建背景模型,有效避免了传统时间平均法构造背景时产生的前景目标与背景混合的现象.实验结果表明,该方法无需预先存储背景图像即可实现场景中运动目标的提取与跟踪,弥补了传统背景差法需要事先提供背景帧以及对背景变化缺乏适应性的缺陷.

关 键 词:智能监控    背景建模    目标跟踪  
收稿时间:2009-06-22

Background Modeling and Visual Tracking Approach Based on Object Locating
ZHANG Bo,SHEN Xuan-jing.Background Modeling and Visual Tracking Approach Based on Object Locating[J].Journal of Jilin University: Sci Ed,2010,48(4):617-623.
Authors:ZHANG Bo  SHEN Xuan-jing
Institution:College of Computer Science and Technology, Jilin University, Changchun 130012, China
Abstract:A new background modeling approach based on object locating is presented in this paper. The method separates the foreground pixels and background pixels preliminary via predicting the location of moving object in video sequences, and then constructs the background model. It effectively overcomes the mixing of background pixels and foreground object in time averaging method. Experimental results show that the proposed approach coulddetect and track the moving object without storing the background model in advance. It makes up for the deficiencies in background subtraction method which needs background model before hand and is lack of adaptation to background changes.
Keywords:intelligent surveillance  background modeling  object tracking  
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