| 多信息融合的虚拟线车辆检测算法 |
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| 引用本文： | 郭超,姚雷博. 多信息融合的虚拟线车辆检测算法[J]. 计算机与数字工程, 2011, 39(9): 128-131 |
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| 作者姓名： | 郭超 姚雷博 |
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| 作者单位： | 洛阳理工学院电气工程与自动化系 洛阳471023 |
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| 摘 要： | 传统的虚拟线车辆检测算法仅利用图像亮度分量检测车辆,易受外部环境及车身颜色影响,误检率较高.提出了一种多信息融合的虚拟线车辆检测算法,以H、S、I三个分量信息为依据动态选择多个颜色空间的不同信息分量进行信息融合,将融合后的数据作为新的检测依据再进行虚拟线检测.检测效果同传统检测算法相比,可有效降低误检率.
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| 关 键 词： | 虚拟线 信息融合 颜色空间 |
Virtual-line Detection Algorithm of Vehicle by Information Fusion |
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| Guo Chao,Yao Leibo. Virtual-line Detection Algorithm of Vehicle by Information Fusion[J]. Computer and Digital Engineering, 2011, 39(9): 128-131 |
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| Authors: | Guo Chao Yao Leibo |
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| Affiliation: | Guo Chao Yao Leibo(Department of Electrical Engineering and Automation,Luoyang Institute of Science and Technology,Luoyang 471023) |
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| Abstract: | Vehicles are detected only using the luminance information of images in traditional virtual-line detection algorithm, therefore it is sensitive to external environment and body color and its rate of false detection is high. A virtual-line detection algorithm of vehicle by information fusion is proposed, which dynamic select different information to fuse based on H, S, I information. Then it detect vehicle accroding to fused data by using virtual-line detection algorithm. The rate of false detcetion is effectively reduced comparing with conventional detection algorithm. |
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| Keywords: | virtual-line information fusion color spaces |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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