| 一种改进的运动目标检测方法 |
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| 引用本文： | 杨会锋,曹洁,帅立国. 一种改进的运动目标检测方法[J]. 计算机工程与应用, 2012, 48(20): 206-210 |
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| 作者姓名： | 杨会锋 曹洁 帅立国 |
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| 作者单位： | 1.兰州理工大学 计算机与通信学院，兰州 7300502.东南大学 机械工程学院，南京 210096 |
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| 基金项目： | 甘肃省自然基金项目(No.1010RJZA046);甘肃省教育厅研究生导师基金项目(No.0914ZTB003) |
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| 摘 要： | 为了克服传统背景差分法所存在的不足，提出了一种基于边缘特征和改进K-均值聚类相结合运动目标检测方法。运用改进的K-均值聚类方法建立背景模型，将其与前景图像相差后得到的二值化图像，通过前景边缘信息的鲁棒性来判别及去除存在的虚假目标。实验结果表明，该方法可以有效去除背景中突然有物体移入或移出引起的虚假运动目标，提高了运动目标检测的准确性。
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| 关 键 词： | K-均值聚类 背景差 边缘信息 虚假运动目标 |
Improved method for moving target detection |
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| YANG Huifeng , CAO Jie , SHUAI Liguo. Improved method for moving target detection[J]. Computer Engineering and Applications, 2012, 48(20): 206-210 |
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| Authors: | YANG Huifeng CAO Jie SHUAI Liguo |
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| Affiliation: | 1.School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China2.School of Mechanical Engineering, Southeast University, Nanjing 210096, China |
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| Abstract: | In order to overcome the drawbacks of the traditional background subtraction method,a moving target detection method based on the combination of edge features and improved K-means clustering is provided.Background model is established using improved K-means clustering method.The difference between foreground image and background image is calculated and the binarization process is employed.False targets are judged and rejected with the foreground edge information.Experimental results show that the method can effectively eliminate the false moving target resulted from object move-in or move-out and improve the accuracy of moving target detection. |
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| Keywords: | K-means clustering background subtraction edge information false moving target |
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