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SYSTEMS AND METHODS FOR COMPUTER VISION BACKGROUND ESTIMATION USING FOREGROUND-AWARE STATISTICAL MODELS
SYSTEMS AND METHODS FOR COMPUTER VISION BACKGROUND ESTIMATION USING FOREGROUND-AWARE STATISTICAL MODELS
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机译:使用前兆统计模型进行计算机视觉背景估计的系统和方法
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摘要
Systems and methods are disclosed for background modeling in a computer vision system for enabling foreground object detection. A video acquisition model receives video data from a sequence of frames. A fit test module identifies a foreground object from the video data and defines a foreground mask representative of the identified foreground object. A foreground-aware background estimation module defines a first background model from the video data and then further defines an updated background model from an association of a current frame of the video data, the first background model and the foreground mask.
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