MACHINE-LEARNT PERSON RE-IDENTIFICATION
    1.
    发明申请
    MACHINE-LEARNT PERSON RE-IDENTIFICATION 有权
    机器学习人员重新认证

    公开(公告)号:US20130343642A1

    公开(公告)日:2013-12-26

    申请号:US13913685

    申请日:2013-06-10

    CPC classification number: G06K9/6256 G06K9/4652

    Abstract: Automated person re-identification may be assisted by consideration of attributes of the person in a joint classification with matching of the person. By both solving for similarities in a plurality of attributes and identities, discriminative interactions may be captured. Automated person re-identification may be assisted by consideration of a semantic color name. Rather than a color histogram, probability distributions are mapped to color terms of the semantic color name. Using other descriptors as well, similarity measures for the various descriptors are weighted and combined into a score. Either or both considerations may be used.

    Abstract translation: 自动人员重新识别可以通过考虑与人的匹配的联合分类中的人的属性来辅助。 通过解决多个属性和身份中的相似性,可以捕获歧视性交互。 可以通过考虑语义颜色名称来辅助自动人员重新识别。 概率分布不是颜色直方图,而是映射到语义颜色名称的颜色项。 还使用其他描述符,对各种描述符的相似性度量进行加权并组合成一个分数。 可以使用这两种或两种考虑因素。

    Machine-learnt person re-identification
    2.
    发明授权
    Machine-learnt person re-identification 有权
    机器人重新识别

    公开(公告)号:US09396412B2

    公开(公告)日:2016-07-19

    申请号:US13913685

    申请日:2013-06-10

    CPC classification number: G06K9/6256 G06K9/4652

    Abstract: Automated person re-identification may be assisted by consideration of attributes of the person in a joint classification with matching of the person. By both solving for similarities in a plurality of attributes and identities, discriminative interactions may be captured. Automated person re-identification may be assisted by consideration of a semantic color name. Rather than a color histogram, probability distributions are mapped to color terms of the semantic color name. Using other descriptors as well, similarity measures for the various descriptors are weighted and combined into a score. Either or both considerations may be used.

    Abstract translation: 自动人员重新识别可以通过考虑与人的匹配的联合分类中的人的属性来辅助。 通过解决多个属性和身份中的相似性,可以捕获歧视性交互。 可以通过考虑语义颜色名称来辅助自动人员重新识别。 概率分布不是颜色直方图,而是映射到语义颜色名称的颜色项。 还使用其他描述符,对各种描述符的相似性度量进行加权并组合成一个分数。 可以使用这两种或两种考虑因素。

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