The performance of probability data association (PDA) can be improved by this algorithm.
该算法提高了概率数据关联(PDA)算法的性能。
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。
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。
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。
Considering spatial characteristic of data association, the nearest neighbor algorithm is investigated in detail.
考虑到空间数据关联的特点，作者对空间最近邻居定位算法进行了详细的研究。
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。
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。
We bring out our video retrieval method based on multi-feature data association histogram and C-Mean fuzzy clustering algorithm.
基于多特征联合分布直方图理论和模糊c -均值聚类算法，我们提出了新的视频流模糊检索方法。
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。
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。
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。
Dynamic methods employ the rule of movement of real target to erase ghosts. An applying of joint probability data association (JPDA) is presented.
动态方法利用真实目标的运动规律去除虚假目标，本文介绍了联合概率数据关联(JPDA)在此的应用。
For the detected human heads kalman prediction and data association based on objective matching methods are used to track multiple moving objects.
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。
To deal with the uncertainty of multi-sensor observations, a new data association algorithm based on intuitionistic fuzzy clustering was proposed.
针对多传感器观测数据存在不确定性的问题，基于直觉模糊聚类，提出一种新的数据关联算法。
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。
The paper presents e-commerce website based on data association rules, and in detail elaborates system design targets, overall structure and functional modules.
本文研究了一种基于数据关联规则的电子商务网站，并详细阐述了系统的设计目标，总体架构及各功能模块的详细设计。
For the inconsistency problem of heterogeneous sensors' measurement Spaces, a new data association (da) algorithm based on fuzzy clustering algorithm is presented.
针对异类传感器观测空间不一致的问题，提出了基于模糊聚类的异类多传感器数据关联算法。
The similarity measurement algorithm is a data association method for assigning the local tracks based on the pattern similarity, which has a fine association effect.
相似性测度算法是根据航迹模式完成各局部航迹分配的关联方法，关联效果较好。
This dissertation points out the most pivotal problems in data fusion, i. e., data association, state estimation and target recognition, which are investigated in depth.
本文指出了数据融合中最为关键的几个问题——数据关联、状态估计和目标识别并围绕它们进行了深入的研究。
The properties of the joint probabilistic data association(JPDA)are analyzed, and data association is reduced to a sort of constraint combinatorial optimization problem.
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 Joint Probabilistic data association algorithm (JPDA) is the accepted effective data association algorithm, but it has high computational load, and it's not a Real-time algorithm.
联合概率数据关联算法是公认的多目标跟踪中有效的数据关联算法，但它的计算量过大，实时性不好。
Multipath data fusion is composed of multipath data association and multipath trajectory association, and usually the trajectory association is the subsequence of the data association.
多路径数据融合过程包括多路径数据关联与航迹关联，航迹关联通常是在数据关联的基础上进行的。
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。
The fusion center is designed to have separate modules, feature extraction interface, data association unit and data pool, and fusion calculation unit, which is very structural and practical.
融合中心的结构采用模块化设计，把特征提取、数据关联和融合计算分层次进行，具有结构清晰实用性强的特点。
This paper studies the problem of data association in multisensor multitarget detection under the condition of leakage and describes it as combinatorial optimization in mathematical programming.
研究了漏检情况下多传感器多目标检测中的数据关联问题，并将其描述为数学规划中组合最优化问题。
In the second chapter, related technologies are presented. These are algorithms for track-filtering, filtering on condition of multisensor, data association on condition of multitarget and so on.
第二章介绍了航迹数据融合中使用的主要技术，包括：航迹滤波算法、多站条件下的滤波算法、多目标条件下的数据关联算法等。
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。
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。
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。
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