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首页> 外文期刊>Optical engineering >Multispectral detection and tracking of multiple moving targets in cluttered urban environments
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Multispectral detection and tracking of multiple moving targets in cluttered urban environments

机译：在凌乱的城市环境中对多个移动目标进行多光谱检测和跟踪

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摘要

This paper presents an algorithm for target detection and tracking by fusion of multispectral imagery. In all spectral bands, we build a background model of the pixel intensities using a Gaussian mixture model, and pixels not belonging to the model are classified as foreground pixels. Foreground pixels from the spectral bands are weighted and summed into a single foreground map and filtered to give the fused foreground map. Foreground pixels are grouped into target candidates and associated with targets from a tracking database by matching features from the scale-invariant feature transform. The performance of our algorithm was evaluated with a synthetically generated data set of visible, near-infrared, midwave infrared, and long-wave infrared video sequences. With a fused combination of the spectral bands, the proposed algorithm lowers the false alarm rate while maintaining high detection rates. All 12 vehicles were tracked throughout the sequence, with one instance of a lost track that was later recovered.
机译：本文提出了一种融合多光谱图像的目标检测与跟踪算法。在所有光谱带中，我们使用高斯混合模型建立像素强度的背景模型，不属于该模型的像素被分类为前景像素。来自光谱带的前景像素被加权并求和成单个前景图，并进行滤波以得到融合的前景图。通过匹配尺度不变特征变换中的特征，前景像素被分组为目标候选，并与跟踪数据库中的目标相关联。我们算法的性能是通过合成生成的可见，近红外，中波红外和长波红外视频序列的数据集进行评估的。利用频谱带的融合组合，该算法在保持较高检测率的同时降低了误报率。在整个序列中对所有12辆车进行了跟踪，其中一例丢失了轨道，后来被追回。

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  • 来源
    《Optical engineering》 |2015年第12期|55-55|共1页
  • 作者

    Casey D. Demars; Michael C. Roggemann; Timothy C. Havens;

  • 作者单位

    Michigan Technological University, Department of Electrical and Computer Engineering, 1400 Townsend Drive, Houghton, Michigan 49931, United States;

    Michigan Technological University, Department of Electrical and Computer Engineering, 1400 Townsend Drive, Houghton, Michigan 49931, United States;

    Michigan Technological University, Department of Electrical and Computer Engineering, 1400 Townsend Drive, Houghton, Michigan 49931, United States,Michigan Technological University, Department of Computer Science, 1400 Townsend Drive, Houghton, Michigan 49931, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    image fusion; multitarget tracking; Gaussian mixture model; multispectral; scale-invariant feature transform features;

    机译：图像融合多目标跟踪;高斯混合模型;多光谱尺度不变特征变换特征;

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