| 基于ViBe的改进运动目标检测方法 |
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| 引用本文： | 王海全,邱卫根,谭台哲.基于ViBe的改进运动目标检测方法[J].电视技术,2015,39(17):131-134. |
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| 作者姓名： | 王海全 邱卫根 谭台哲 |
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| 作者单位： | 广东工业大学 计算机学院,广东工业大学 计算机学院,t |
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| 基金项目： | 国家自然科学基金(61370082) |
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| 摘 要： | 提出一种基于ViBe算法的改进运动目标检测方法。改进的方法利用二十帧图像进行背景模型的初始化,通过比较SILTP特征值来对前后景像素进行分类,模型更新机制采用替代异常值的方式。在不同场景下的实验结果表明,改进后的算法对光照变化、鬼影产生和噪声具有强鲁棒性。
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| 关 键 词： | ViBe算法 SILTP 背景更新 |
| 收稿时间： | 2015/1/29 0:00:00 |
| 修稿时间： | 2015/2/13 0:00:00 |
Improved Moving Object Detection Method based on ViBe Algorithm |
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| wanghaiquan,qiuweigen and t.Improved Moving Object Detection Method based on ViBe Algorithm[J].Tv Engineering,2015,39(17):131-134. |
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| Authors: | wanghaiquan qiuweigen and t |
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| Affiliation: | Computer Faulty of Guangdong University of Technology,Computer Faulty of Guangdong University of Technology and t |
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| Abstract: | In this paper an improved method of moving objects detection was proposed, which is based on the ViBe algorithm. The improved algorithm uses background model initialization of twenty images and classifys the foreground and background pixels by comparing the SILTP characteristic values. Also, the model updating mechanism of the improved algorithm is the method of replacing the abnormal values. Under different conditions, the results of experiments show that the improved algorithm has stronger robustness to illumination changes, the emergence of ghost and noise than ViBe algorithm. |
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| Keywords: | ViBe algorithm SILTP background update |
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