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Models of robust appearance, in line, on the basis of views for analysis of visual motion and visual tracking

机译:基于视图的一致外观的健壮模型,用于分析视觉运动和视觉跟踪

摘要

"Models of robust appearance, in line, on the basis of views for analysis of visual motion and visual tracking.A robust adaptive appearance model (120) is described that includes both a component of stable model (s), learned over the course of time, and a transient component (w / L),Learned over a relatively short time course (for example, a component of movement (W), 2 tables and / or another processing component (L).An algorithm of on line is used to adapt the parameters of the model of appearance over time.An implementation of this proposal is developed for a type of appearance based on responses of the filter of a pyramid airship.The model of appearance is used in a tracking algorithm based on motion (110) to provide robustness in the face of the external image, such as those caused by occlusions.It also provides the ability to adapt to natural changes in appearance, such as those due to facial expressions, or to variations in pose in 3D.
机译:“基于外观的健壮外观模型,用于对视觉运动和视觉跟踪进行分析。描述了健壮的自适应外观模型(120),其中包括稳定模型的一个组成部分,这些知识是在学习过程中学习的时间和瞬态分量(w / L),是在相对较短的时间过程中学习的(例如,运动分量(W),2个表和 /或另一个处理分量(L)。线用于适应随时间变化的外观模型的参数。基于金字塔型飞艇的滤波器响应,针对一种外观类型开发了该建议的实现。外观模型用于基于运动(110)可以增强外部图像(例如由遮挡引起的图像)的面部表情的鲁棒性,还可以适应外观的自然变化(例如由于面部表情或3D姿势变化引起的变化) 。

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