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EVENT-BASED FEATURE TRACKING

机译:基于事件的功能跟踪

摘要

Methods, systems and computer readable media for implementing a soft data association modeled with probabilities. The association probabilities are computed in an intertwined EM scheme with the optical flow computation that maximizes the expectation (marginalization) over all associations. In addition, longer tracks can be enabled by computing the affine deformation with respect to the initial point and use the resulting residual as a measure of persistence. The computed optical flow enables a varying temporal integration different for every feature and sized inversely proportional to the length of the flow. The results can be seen in egomotion and very fast vehicle sequences.
机译:用于实现以概率建模的软数据关联的方法,系统和计算机可读介质。关联概率是在交错的EM方案中计算的,其中光流计算可使所有关联的期望值(边际化)最大化。另外,可以通过计算相对于初始点的仿射变形来启用更长的轨道,并将生成的残差用作持久性的度量。计算出的光流使得每个特征的变化时间积分不同,并且大小与流的长度成反比。结果可以从自我运动和非常快速的车辆序列中看出。

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