| 基于GMM和MRF的自适应阴影检测 |
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| 引用本文： | 闵华清,吕居美,罗荣华,陈聪.基于GMM和MRF的自适应阴影检测[J].华南理工大学学报(自然科学版),2011,39(7):115-120. |
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| 作者姓名： | 闵华清 吕居美 罗荣华 陈聪 |
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| 作者单位： | 华南理工大学计算机科学与工程学院,广东广州,510006 |
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| 基金项目： | 国家自然科学基金资助项目(61005061); 广东省科技攻关项目(2009A040300008,2010B010600016); 华南理工大学中央高校基本科研业务费专项资金资助项目(2009ZM0123) |
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| 摘 要： | 运动目标阴影在很大程度上会影响运动目标跟踪、行为识别的正确性和有效性.为此,文中提出了一种基于混合高斯模型和马尔科夫随机场的自适应阴影检测方法.该方法首先对混合高斯模型进行改进,使其可以自适应调整参数学习率以消除浅阴影；然后采用马尔科夫随机场综合邻域的空间依赖性信息进行精确的阴影检测.为了提高基于马尔科夫随机场的阴影检...
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| 关 键 词： | 阴影检测 自适应阈值 混合高斯模型 马尔科夫随机场 图像分割 |
Adaptive Shadow Detection Based on GMM and MRF |
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| Min Hua-qing,Lü Ju-mei,Luo Rong-hua,Chen Cong.Adaptive Shadow Detection Based on GMM and MRF[J].Journal of South China University of Technology(Natural Science Edition),2011,39(7):115-120. |
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| Authors: | Min Hua-qing Lü Ju-mei Luo Rong-hua Chen Cong |
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| Institution: | Min Hua-qing Lü Ju-mei Luo Rong-hua Chen Cong (School of Computer Science and Engineering,South China University of Technology,Guangzhou 510006,Guangdong,China) |
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| Abstract: | Shadows of moving objects often reduce the accuracy and the effectiveness of tracking and recognition of moving objects.In order to distinguish the objects from their shadows,an adaptive shadow detection method is proposed based on the Gaussian mixture model(GMM) and the Markov random field(MRF).In this method,first,an improved GMM,which adaptively adjusts the parameter learning ratio,is proposed to remove the light shadow of an object.Then,a new approach to shadow detection is put forward based on the spat... |
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| Keywords: | shadow detection adaptive threshold Gaussian mixture model Markov random field image segmentation |
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