| 慢运动背景下的实时运动目标检测算法研究 |
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| 引用本文： | 秦岳,毛征,孙乐公,齐南,彭超.慢运动背景下的实时运动目标检测算法研究[J].国外电子测量技术,2011,30(12):44-47. |
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| 作者姓名： | 秦岳 毛征 孙乐公 齐南 彭超 |
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| 作者单位： | 北京工业大学电子信息与控制工程学院 北京100124 |
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| 摘 要： | 运动背景下的运动目标检测是一项难度大、计算量大的工程,它的难点是难以在实际工程中达到实时性的要求.本文针对这一问题提出了一种利用Lucas-Kanade和层次聚类相结合的方法,能够快速检测运动背景中的运动目标.实验证明该方法速度快,准确性高,在实际工程中具有一定的应用价值.
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| 关 键 词： | 运动目标 运动背景 光流检测 |
Research on real-time dynamic object detection in the slowly changing background |
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| Qin Yue,Mao Zheng,Sun Legong,Qi Nan,Peng Chao.Research on real-time dynamic object detection in the slowly changing background[J].Foreign Electronic Measurement Technology,2011,30(12):44-47. |
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| Authors: | Qin Yue Mao Zheng Sun Legong Qi Nan Peng Chao |
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| Affiliation: | Qin Yue Mao Zheng Sun Legong Qi Nan Peng Chao(College of Electronic and Control Engineering,Beijing University if Technology,Beijing 100124,China) |
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| Abstract: | Moving object detection in the dynamic background is a hard complex task which has high time complexity.It is hard to meet its real time requirement in the project.In this paper,we present a new method that synthesize Lucas-Kanade algorithm and Hierarchical clustering to detect moving object rapidly.Finally,the experiments show that this method is efficient and accurate in the moving background. |
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| Keywords: | dynamic object moving background optical detect |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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