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    • 1. 发明申请
    • METHOD FOR SPECTRAL DATA CLASSIFICATION AND DETECTION IN DIVERSE LIGHTING CONDITIONS
    • 多种照明条件下的光谱数据分类和检测方法
    • WO2007098123A2
    • 2007-08-30
    • PCT/US2007004300
    • 2007-02-16
    • CLEAN EARTH TECH LLCPOLONSKIY LEONIDWANG ZHU JOEBENAC JASENKAGOLDEN JEFFRY
    • POLONSKIY LEONIDWANG ZHU JOEBENAC JASENKAGOLDEN JEFFRY
    • G01J3/28G01N21/25G01N21/27
    • G01J3/28G01J3/2823G01N21/25G01N21/274G01N2021/1793G06K9/0063
    • The invention is a method of spectral data classification that uses the decoupling of target chromaticity and lighting or illumination chromaticity in spectral data and the sorting and selection of spectral bands by values of a merit function to obtain an optimized set of combinations of spectral bands for classification of the data. The decoupling is performed in "delta-log" space. A rotation transform may be applied. For a broad range of parameters, correction of lighting chromaticity may be obtained by use of an equivalent "Planck distribution" temperature. Merit function sorting and band combination selection is performed by multiple selection criteria. The method achieves reliable pixel classification and target detection in diverse lighting or illumination, especially in circumstances where lighting is non-uniform across a scene, such as with sunlight and shadows on a partly cloudy day or in "artificial" lighting. Applications are found in homeland security, defense, environmental protection, biomedical diagnostics, industrial process and product monitoring, and other remote or standoff sensing by spectral characteristics.
    • 本发明是一种光谱数据分类的方法,其使用光谱数据中的目标色度和照明或照明色度的去耦,并且通过优值函数的值对光谱带的分类和选择以获得用于分类的光谱带的组合的优化集合 的数据。 去耦在“delta-log”空间中执行。 可以应用旋转变换。 对于广泛的参数,可以通过使用等效的“普朗克分布”温度来获得照明色度的校正。 优质功能排序和乐队组合选择由多种选择标准进行。 该方法在不同的照明或照明中实现可靠的像素分类和目标检测,特别是在场景不均匀的情况下,例如在部分多云的日子或“人造”照明中的阳光和阴影的情况下。 应用在国土安全,防御,环境保护,生物医学诊断,工业过程和产品监控以及其他通过光谱特性的远程或间隔感测中找到。
    • 3. 发明申请
    • TRACKING USING AN ELASTIC CLUSTER OF TRACKERS
    • 使用跟踪器的弹性群集进行跟踪
    • WO2007056711A3
    • 2007-12-21
    • PCT/US2006060573
    • 2006-11-06
    • CLEAN EARTH TECH LLCCILIA ANDREW
    • CILIA ANDREW
    • G06T7/20
    • G06K9/00369G06K9/32G06T7/248G06T2207/10016G06T2207/30196G06T2207/30232G06T2207/30241
    • The invention is method for tracking moving objects from data by tracking a cluster of resilient features of the target. The features correspond to a set of trackers, to maintain tracking or allow rapid reacquisition and subsequent tracking although the objects form and geometry may change. The method includes a Motion Fields Extraction step, a Creation of the Elastic Matrix step, and a step including the recurring tracking of the target. The Motion Fields Extraction step further includes generating Candidate Matches, Localizing Motion Voting, and Resolving Voting, and the Creating the Elastic Matrix step includes the steps of Creating the Candidate Targets, Assessing the Target Quality of the Candidate Targets, and Creating the Elastic Matrix.
    • 本发明是用于通过追踪目标的弹性特征的集群来跟踪来自数据的移动物体的方法。 这些特征对应于一组跟踪器,以保持跟踪或允许快速重新获取和随后的跟踪,尽管对象形状和几何形状可能会改变。 该方法包括运动场提取步骤,弹性矩阵步骤的创建以及包括目标的循环追踪的步骤。 运动场提取步骤还包括生成候选匹配,本地化运动投票和解决投票,并且创建弹性矩阵步骤包括创建候选目标,评估候选目标的目标质量和创建弹性矩阵的步骤。