多目标跟踪技术被广泛用于军事领域。
The technology of targets tracking is widely used in military.
在多目标跟踪中采用SIFT特点描述。
SIFT feature was used to describe object in multi-target tracking.
第四章叙述了多目标跟踪算法的实现结果。
In chapter four, we show some experimental results of the proposed algorithm.
给出了多目标跟踪起始和数据关联的快速算法。
Afterwards a fast algorithm for track initiation and data association in multiple target tracking is obtained.
多目标跟踪在军事和民用方面得到广泛的应用。
Multiple targets tracking is of a wide use in the civil and military field.
提出了一种新的多目标跟踪快速数据关联算法。
A new fast algorithm is presented to solve the data association in multitarget tracking in cluttered environment.
提出了基于二阶非线性投票的多目标跟踪算法。
This paper proposed a two-stage nonlinear voting-based tracking method.
该方法同样适用于对多目标跟踪算法的性能进行评估。
This method can also be applicable to evaluate the performance of other algorithms in multi-target tracking.
多目标跟踪系统包含了数据互连算法和数据滤波算法。
Multiple Target Tracking system concludes data association algorithm and data filtering algorithm.
本文讨论过去二十年来多目标跟踪问题所取得的进展。
This paper looks back on the development of multiple targets tracking technique in the past twenty years.
最终，以这些工作为基础，构建了一种多目标跟踪算法。
Finally, a multiple targets tracking algorithm based on these work was constructed.
第三章介绍利用视频分割与粒子滤波实现多目标跟踪的算法。
In chapter three, we adopt the technique of video segmentation and particle filter to develop a new algorithm of multi-target tracking.
为解决在多目标跟踪过程中，声纳存在交叉运动目标失跟问题。
In the process of multiple target tracking, sonar usually loses track of cross-moving targets.
介绍了一种以目标形心位置和帧间位移测量的多目标跟踪方法。
A method for tracking multiple targets based on measurement of target image centroid position and offset from image sequence is presented.
航迹起始做为多目标跟踪技术中的关键问题，得到了广泛的重视和研究。
As the key problem of multiple target tracking, track initiation technology has received extensive attention and study.
目标跟踪作为信息融合的重要环节，包括单目标跟踪和多目标跟踪两方面。
Target tracking, which is a major part of data fusion, includes single target tracking and multi-target tracking.
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.
包含有新目标跟踪起始的数据关联问题是多目标跟踪算法研究中的一个难点。
Data association accompanied by track initiation in multiple target tracking is very difficult.
针对视频序列中目标的跟踪问题，提出了一种基于模版匹配的多目标跟踪算法。
Aiming at the tracking problem of targets in video sequence images, a multi-target tracking algorithm based on region matching is proposed.
该文针对无源测向交叉定位系统提出了基于多维指派算法的被动多目标跟踪方案。
A new multitarget tracking method based on multidimensional assignment algorithm is developed for passive DOA systems in the paper.
实验结果表明，目标的分类处理使算法对多目标跟踪具有较好的适应性和准确性。
The aim is to track multiple people and get their motion trajectory. The whole algorithm is…
对于分布式多传感器融合多目标跟踪系统，提出一种序贯处理的航迹关联融合算法。
For distributed multi-sensor fusion multi-target tracking system, an efficient sequential track-to-track correlation and fusion algorithm is proposed.
计算机仿真表明，文中给出的基本原理与数学表示，适于作多目标跟踪优化处理的基础。
The computer simulating shows that the mathematical representation described in this paper is very suitable for optimizing the processing of multitarget tracking.
针对全球定位系统（GPS）提供的目标测量真值，对多目标跟踪性能进行了定量分析。
Multiple-target tracking property is analyzed in quantity based on the true value of the targets which is obtained by GPS.
针对足球视频中多球员跟踪问题，提出一种基于融合反馈式粒子滤波的多目标跟踪算法。
Aiming at the tracking problem of soccer players in soccer videos, a tracking algorithm based on fusion-feedback particle filter is proposed.
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。
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.
文中系统地研究了基于边扫描边跟踪系统的多目标跟踪数据处理的航迹关联及滤波与预测。
This paper studied systematically the track correlation and filter forecast based on data processing of multitar- get track while scan system.
对运动目标跟踪做了初步的研究，研究一种多目标跟踪算法，能够区分出单目标和合并目标。
A preliminary investigation is made into moving objects tracking, and a multiple moving objects tracking algorithm is presented, which can recognize combination object and single object.
复杂场景下的单目标跟踪和多目标跟踪是视觉目标跟踪中最困难的不足一直没有得到很好的解决。
Complex scenarios single target tracking and multi-target tracking is the most difficult visual target tracking problem has not been solved.
多传感器多目标跟踪融合中的目标航迹包含了模糊信息，这种模糊信息可以用模糊隶属度函数来描述。
The target track in the multisensor multitarget tracking fusion contains the fuzzy information which was described by the fuzzy membership function.
应用推荐