公开(公告)号：US08682063B2

公开(公告)日：2014-03-25

申请号：US12953650

申请日：2010-11-24

申请人： Jue Wang ,  Xue Bai ,  Guillermo R. Sapiro

发明人： Jue Wang ,  Xue Bai ,  Guillermo R. Sapiro

IPC分类号： G06K9/00 ,  G06K9/34

CPC分类号： G06K9/6278 ,  G06T7/194 ,  G06T7/269 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20076 ,  G06T2207/20104

摘要： Methods, apparatus, and computer-readable storage media for dynamic color flow modeling. A dynamic color flow model that incorporates motion estimation in a probabilistic fashion is described. By automatically and adaptively changing model parameters based on the inferred local motion uncertainty, the dynamic color flow model accurately and reliably models the object appearance, and improves the foreground color probability estimation when compared to conventional methods. The dynamic color flow model may, for example, be applied to both foreground and background layers (or to additional layers) for video object segmentation, obtaining significantly improved results when compared to conventional methods.

摘要翻译： 用于动态颜色流建模的方法，装置和计算机可读存储介质。 描述了以概率方式并入运动估计的动态色彩流模型。 通过基于推断的局部运动不确定性自动和自适应地改变模型参数，动态色彩流模型准确可靠地建模对象外观，并与传统方法相比改进了前景色概率估计。 例如，动态色彩流模型可以应用于用于视频对象分割的前景层和背景层（或附加层），与常规方法相比，获得显着改进的结果。

公开(公告)号：US20130129205A1

公开(公告)日：2013-05-23

申请号：US12953650

申请日：2010-11-24

申请人： Jue Wang ,  Xue Bai ,  Guillermo R. Sapiro

发明人： Jue Wang ,  Xue Bai ,  Guillermo R. Sapiro

IPC分类号： G06K9/34

CPC分类号： G06K9/6278 ,  G06T7/194 ,  G06T7/269 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20076 ,  G06T2207/20104

摘要： Methods, apparatus, and computer-readable storage media for dynamic color flow modeling. A dynamic color flow model that incorporates motion estimation in a probabilistic fashion is described. By automatically and adaptively changing model parameters based on the inferred local motion uncertainty, the dynamic color flow model accurately and reliably models the object appearance, and improves the foreground color probability estimation when compared to conventional methods. The dynamic color flow model may, for example, be applied to both foreground and background layers (or to additional layers) for video object segmentation, obtaining significantly improved results when compared to conventional methods.

摘要翻译： 用于动态颜色流建模的方法，装置和计算机可读存储介质。 描述了以概率方式并入运动估计的动态色彩流模型。 通过基于推断的局部运动不确定性自动和自适应地改变模型参数，动态色彩流模型准确可靠地建模对象外观，并与传统方法相比改进了前景色概率估计。 例如，动态色彩流模型可以应用于用于视频对象分割的前景层和背景层（或附加层），与常规方法相比，获得显着改进的结果。