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Method for detection and tracking of deformable objects using adaptive time-varying autoregressive model

机译:自适应时变自回归模型的变形目标检测与跟踪方法

摘要

A method is provided for segmenting a moving object immersed in a background, comprising: obtaining a time-varying autoregressive model of prior motion of the object to predict future motion of the object; predicting a subsequent contour of the object from the background using the obtaining time-varying autoregressive model comprising using the obtained time-varying autoregressive model to initialize and/or constrain segmentation of the object from the background, and segmenting the object using the predicted subsequent contour and updating the autoregressive model while tracking of the segmented object.
机译:提供了一种用于分割浸没在背景中的运动物体的方法,该方法包括:获得物体的先前运动的时变自回归模型,以预测物体的未来运动;以及使用获得的时变自回归模型从背景预测对象的后续轮廓,包括使用获得的时变自回归模型初始化和/或约束对象从背景的分割,以及使用预测的后续轮廓对对象进行分割跟踪细分对象时更新自回归模型。

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