同时还研究了多传感器跟踪多机动目标过程中的数据关联方法。

Data association method in multi sensor multi maneuver target tracking is simultaneously argued.

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对于检测到人体头部采用卡尔曼预测和基于目标匹配的数据关联方法进行多运动目标跟踪。

For the detected human heads kalman prediction and data association based on objective matching methods are used to track multiple moving objects.

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通过对多目标联合概率数据关联方法性能特征的分析，将其归结为一类约束组合优化问题。

The properties of the joint probabilistic data association(JPDA)are analyzed, and data association is reduced to a sort of constraint combinatorial optimization problem.

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Sometimes the functions -- sometimes a function can be used on multiple data types, plus, for example, we saw could add strings, or could add ints, but each one of those data types has associated with it a set of functions that are geared to handling them.

比如说，我们可以对string类型,进行add操作,也可以对int类型进行这个操作，但是这些数据类型中的每一种，都与适合于操作它们的,方法集相关联,我们想对我们创建的数据,类型做同样的事情。

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