The IBM Software Development Platform offers complete requirements tracking -- from requirements gathering to visual model association and mapping of each requirement to a test case.
IBM软件开发平台提供完全的需求跟踪--从收集需求到可视化的关联模型，映射每个需求到测试用例。
The Nearest Near Joint Probabilistic Data Association(NNJPDA) is not used directly in multi-sensor multi-target tracking.
传统的最邻近联合概率数据关联算法（NNJPDA）不能直接用于多传感器对多目标的跟踪。
To improve the precision of multisensor data fusion, data or track association becomes the key of target tracking filter.
为了提高多传感器数据融合的精度，数据或航迹关联成为对目标跟踪滤波的关键。
First, we focus on the method of batch management, batch association, tracking BOM model, then propose the product tracking model and the algorithm that makes the tracking BOM based on time.
首先重点研究了批次管理的方法、批次关联、追踪bom模型，接着在此基础上提出了产品跟踪模型，并提出了基于时间的跟踪BOM生成算法。
Otherwise, fuzzy reasoning method is used for data association. The arithmetic is mainly used while some targets fall in one tracking door.
另外，文中还采用模糊推理方法进行数据关联，此算法主要用于多个候选目标落入同一跟踪门时的情况。
Tracking initiation and data association are key techniques of multi-target passive tracking by single observer.
跟踪起始与数据关联是机动多目标单站无源跟踪的关键技术。
So tracking multitarget with maneuverability in clutter has to tackle the maneuvering of multitarget as well as the association between measurements and targets.
因此，杂波环境下的多机动目标跟踪问题需要同时解决多个目标的机动性以及测量和目标之间的关联问题。
Data association method in multi sensor multi maneuver target tracking is simultaneously argued.
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。
The track association and fusion technique of synchronized multi-sensor tracking system in case of correlated noises is developed.
本文研究了量测噪声与系统噪声相关情况下同步多传感跟踪系统的航迹关联及融合技术。
Afterwards a fast algorithm for track initiation and data association in multiple target tracking is obtained.
给出了多目标跟踪起始和数据关联的快速算法。
A new fast algorithm is presented to solve the data association in multitarget tracking in cluttered environment.
提出了一种新的多目标跟踪快速数据关联算法。
A joint data association and bias estimation method is proposed to handle the negative effect of individual radar bias to track association and fusion in radar networks for target tracking.
针对雷达组网目标跟踪系统中，单雷达系统偏差严重影响多雷达航迹数据关联及融合跟踪质量的问题，提出了一种联合数据关联与系统偏差估计的方法。
Joint Probabilistic Data Association (JPDA) algorithm can resolve the problem of tracking targets in clutter.
概率数据互联(JPDA)算法能很好地解决密集环境下的多目标跟踪问题。
Secondly, for multi-sensor multi-target tracking, data association is one of important problems, and is the precondition of data fusion.
其次，对于多传感器多目标跟踪问题，数据关联是其中一项重要问题，也是实现多传感器数据融合的前提。
The probabilistic data association algorithm is applied in the spatial domain multi resolution frame and target tracking is implemented at the coarse resolution level.
这个算法在空间多分辨率框架下应用概率数据互联算法，在粗分辨率上实现模糊目标跟踪。
Then, it implements the data association and continuous tracking on the target candidates by using the particle filter and the FCM algorithm.
然后利用基于粒子滤波和FCM的算法实现对候选目标的数据关联和连续跟踪。
With the help of computer simulations, the tracking initiation algorithm is proven to be correct and effective, and the data association algorithm is proven to be superior to the NN method.
借助计算机模拟，跟踪起始算法被证明是正确的，有效的，数据关联算法被证明是优于神经网络方法。
To solve the problem of data association in maneuvering target tracking, a new method of data association is proposed.
为解决机动目标跟踪过程中的数据互联问题，该文提出了一种数据互联新方法。
Under the global optimal association cost frame, fusion of above two matches is realized to improve the accuracy of tracking, which can resolve the complex multitarget tracking problem availably.
最后在关联代价全局最优化框架下，将两者匹配结果融合，以提高多目标跟踪的正确率。
Simulation results show the algorithm can effectively solve the problem in multitarget tracking, and has a higher accurate rate of association. Besides, the CPU occupies a relatively short time.
仿真结果表明，该算法能够有效解决多目标跟踪中的数据关联问题，并且有较高的关联正确率，而且CPU占用时间较短。
Multiple Target Tracking system concludes data association algorithm and data filtering algorithm.
多目标跟踪系统包含了数据互连算法和数据滤波算法。
Data alignment is a basic work to data association, target tracking and identification of data fusion system.
数据对准是数据融合系统中相关、跟踪和识别等功能的基础。
A time and space joint probabilistic data association algorithm is developed to solve the difficult problem of passive multisensor-multitarget tracking.
还提出了一种适合于实际工程应用的时空联合数据概率关摘要联算法，该算法解决了无源多传感器多目标跟踪的难题。
Last year he began a new full-time job at a charitable association, using a gaze-tracking system that, he says, allows him to operate a computer with "no limitations".
去年他在一家慈善机构找到一份新的全职工作。他说视线跟踪系统让他毫无限制地操作电脑。
Last year he began a new full-time job at a charitable association, using a gaze-tracking system that, he says, allows him to operate a computer with "no limitations".
去年他在一家慈善机构找到一份新的全职工作。他说视线跟踪系统让他毫无限制地操作电脑。
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