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  1. KernelBasedObjectTracking

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  2. A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
  3. 所属分类:Development Research

    • 发布日期:2017-05-10
    • 文件大小:2.35mb
    • 提供者:Ali
  1. klt

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  2. KLT feature extraction and tracking
  3. 所属分类:Development Research

    • 发布日期:2017-03-27
    • 文件大小:829.08kb
    • 提供者:djalex
  1. sift4

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  2. :提出一种基于尺度不变特征变换(SIFT)特征匹配的目标跟踪方法.首先使用SIFT提取目标特征,构 建目标特征库,然后使用基于K维树的特征匹配算法,对实时序列图像提取的SIFT特征与特征库中目标进行精确匹配 -: Based on Scale Invariant Feature Transform (SIFT) feature matching target tracking. The first to use SIFT target feature extraction, featur
  3. 所属分类:Development Research

    • 发布日期:2017-03-30
    • 文件大小:258.27kb
    • 提供者:LIDAN
  1. OBJECT_TRACKING_BY_DTCWT_FEATURE_VECTORS-2-3-4.ra

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  2. OBJECT TRACKING BY DTCWT FEATURE VECTORS
  3. 所属分类:Development Research

    • 发布日期:2017-11-25
    • 文件大小:288.66kb
    • 提供者:bhs
  1. Accelerometer

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  2. The main application of FreeIMU is orientation sensing: by reading the data from the various sensors is possible to compute precisely the orientation of FreeIMU in the space. Recent boards also feature an high resolution barometer allowing to precise
  3. 所属分类:Development Research

    • 发布日期:2017-04-10
    • 文件大小:1.76mb
    • 提供者:Tran Bao An
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