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公开(公告)号:US07136524B1
公开(公告)日:2006-11-14
申请号:US11229091
申请日:2005-09-16
申请人: King-Shy Goh , Edward Y. Chang , Yuan-Fang Wang
发明人: King-Shy Goh , Edward Y. Chang , Yuan-Fang Wang
IPC分类号: G06K9/00
CPC分类号: G06K9/4652
摘要: Systems and methods of robust perceptual color identification are disclosed. The methods include a multilevel analysis for determining the robust perceptual color of an object based on observed colors. This multilevel analysis can include a pixel level, a frame level, and/or a sequence level. The determination may make use of color drift matrices and trained functions such as statistical probability functions. The color drift tables and function training are based on training data generated by observing objects of known robust perceptual color in a variety of circumstances. Embodiments of the invention are applicable to the identification and tracking of objects, for example, in a surveillance video system.
摘要翻译: 公开了鲁棒感知颜色识别的系统和方法。 这些方法包括用于基于观察到的颜色来确定对象的鲁棒感知颜色的多级分析。 该多级分析可以包括像素级,帧级和/或序列级。 该确定可以利用颜色漂移矩阵和经过训练的功能,例如统计概率函数。 色彩漂移表和功能训练基于在各种情况下通过观察已知强健感知色彩的对象产生的训练数据。 本发明的实施例可以应用于例如在监视视频系统中的对象的识别和跟踪。
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公开(公告)号:US20070154088A1
公开(公告)日:2007-07-05
申请号:US11558864
申请日:2006-11-10
申请人: King-Shy Goh , Edward Chang , Yuan-Fang Wang
发明人: King-Shy Goh , Edward Chang , Yuan-Fang Wang
IPC分类号: G06K9/00
CPC分类号: G06K9/4652
摘要: Systems and methods of robust perceptual color identification are disclosed. The methods include a multilevel analysis for determining the robust perceptual color of an object based on observed colors. This multilevel analysis can include a pixel level, a frame level, and/or a sequence level. The determination may make use of color drift matrices and trained functions such as statistical probability functions. The color drift tables and function training are based on training data generated by observing objects of known robust perceptual color in a variety of circumstances. Embodiments of the invention are applicable to the identification and tracking of objects, for example, in a surveillance video system.
摘要翻译: 公开了鲁棒感知颜色识别的系统和方法。 这些方法包括用于基于观察到的颜色来确定对象的鲁棒感知颜色的多级分析。 该多级分析可以包括像素级,帧级和/或序列级。 该确定可以利用颜色漂移矩阵和经过训练的功能,例如统计概率函数。 色彩漂移表和功能训练基于在各种情况下通过观察已知强健感知色彩的对象产生的训练数据。 本发明的实施例可以应用于例如在监视视频系统中的对象的识别和跟踪。
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