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混合高斯模型与Kmeans结合的阴影去除算法 被引量:1

A Shadow Removal Algorithm Based on Gauss Mixture Model and Kmeans
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摘要 阴影去除在目标识别领域具有非常重要的作用。通过将混合高斯模型和Kmeans聚类算法相结合,对灰度视频序列中的运动目标进行阴影去除。实验结果表明,算法能够有效的去除运动前景中的阴影区域,有助于提高目标检测效率。 The shadow removal takes a very important role in the field of target recognition. By combining the hybrid Gauss model and the Kmeans clustering algorithm, the shadows are removed from the moving targets in the gray video sequences. The experimental results show that the algorithm can effectively remove the shadow area of the moving foreground, and is helpful to improve the efficiency of moving object detection.
作者 许娜
出处 《山西电子技术》 2015年第6期41-43,共3页 Shanxi Electronic Technology
关键词 运动目标检测 混合高斯模型 阴影去除 moving object detection Gaussian mixture model shadow remov
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参考文献7

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