| 序列图像的自适应背景提取及车型分类 |
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| 引用本文： | 胡炜炜,李树广,吴舟舟. 序列图像的自适应背景提取及车型分类[J]. 计算机工程与应用, 2007, 43(12): 239-242 |
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| 作者姓名： | 胡炜炜 李树广 吴舟舟 |
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| 作者单位： | 上海交通大学图像处理与模式识别研究所,上海200240 |
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| 摘 要： | 提出了一种基于计算机图像视觉模式识别理论针对车型识别的自适应背景提取得的新方法。基于彩色图像的特征,利用三通道的差分图象获得对象掩模。并根据两种不同的情况分别采用了不同的背景更新方法;最后利用软传感器来触发车型提取工作。与同类方法相比,该方法速度快,准确率高,能很好地满足实时性的要求。
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| 关 键 词： | 智能交通系统 自适应背景更新 车型识别 区域填充 实时性 |
| 文章编号： | 1002-8331（2007）12-0239-04 |
| 修稿时间： | 2006-09-01 |
Adaptive background update of sequence image and vehicle classification |
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| HU Wei-wei,LI Shu-guang,WU Zhou-zhou. Adaptive background update of sequence image and vehicle classification[J]. Computer Engineering and Applications, 2007, 43(12): 239-242 |
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| Authors: | HU Wei-wei LI Shu-guang WU Zhou-zhou |
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| Affiliation: | Shanghai Jiaotong University,Shanghai 200240,China |
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| Abstract: | This paper presents a novel method of extracting the self-adaptation background applying to the vehicle shape recognization.Based on the colorful images characters,the object mask is obtained using RGB 3-channels difference images.Two different background update methods are chosen according to 2 situations and then the vehicle shape extraction is triggered through soft sensor.Compare with the other approach,it shows a higher efficiency and accuracy,which enables the excellent, application in the real-time system. |
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| Keywords: | ITS adaptive background update vehicle classification region filling real-time |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
