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视频序列中运动目标跟踪新方法
引用本文:艾金慰, 刘克. 视频序列中运动目标跟踪新方法[J]. 工程科学学报, 2006, 28(2): 195-198. DOI: 10.13374/j.issn1001-053x.2006.02.044
作者姓名:艾金慰  刘克
作者单位:北京科技大学信息工程学院,北京,100083;国家自然科学基金委员会信息科学部,北京,100085
摘    要:提出了一种跟踪视频图像序列中运动目标的新方法.该方法利用一种基于动态信息窗口的自适应背景更新方法解决背景的复杂性问题,结合一种新的计算颜色模型解决运动阴影问题,从而得到具有精确边缘的特定运动目标.计算了运动目标灰度质心,在坐标系中记录其位置,并采用最小二乘法拟合实现了对运动目标的跟踪.实验结果表明这种方法能有效地跟踪并预测视频序列中的运动目标.

关 键 词:自适应背景更新  视频分割  颜色模型  质心  轨迹跟踪
收稿时间:2004-11-03
修稿时间:2005-02-24

A method of tracking a moving object in video sequences
AI Jinwei, LIU Ke. A method of tracking a moving object in video sequences[J]. Chinese Journal of Engineering, 2006, 28(2): 195-198. DOI: 10.13374/j.issn1001-053x.2006.02.044
Authors:AI Jinwei  LIU Ke
Abstract:A novel method of tracking a moving object in video sequences was presented. Adaptive background updating based on dynamic information window was used to solve the problem of complicated background, and a novel color model was used to dispel motion shadow. A given moving object with accurate edge was obtained, The centroid of the moving object was calculated and the coordinates were established. The method of 2-stage least squares was adopted to implement tracking the moving object. The results showed that the presented method was promising to track and forecast the motion of a moving object in video sequences.
Keywords:adaptive background updating  video segmentation  color model  centroid  trajectory tracking
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