multiple moving targets tracking 多运动目标跟踪
multiple human-targets tracking 多人体目标跟踪
multiple point targets' tracking 点状多目标跟踪
Multiple Maneuvering Targets Tracking 多机动目标跟踪
Lastly, particle probability hypothesis density (PHD) filter for multiple targets tracking is studied.
论文最后研究了基于概率假设密度(PHD)粒子滤波的多目标跟踪问题。
参考来源 - 基于粒子滤波的目标跟踪算法与硬件实现研究The fuzzy probabilistic data association of multiple targets tracking is presented in this paper, Which define a target梖uzzy set on the measurement set at time k and then use fuzzy least mean square error method to estimate target states.
给出了一种多目标跟踪的模糊概率数据关联方法，该方法在K时刻的回波集上定义一个目标模糊集，表示回波与目标之间的模糊关系。 然后基于目标模糊集，利用模糊最小均方误差估计方法对目标状态作出估计。
参考来源 - 多目标数据关联算法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Finally, a multiple targets tracking algorithm based on these work was constructed.
最终，以这些工作为基础，构建了一种多目标跟踪算法。
This paper looks back on the development of multiple targets tracking technique in the past twenty years.
本文讨论过去二十年来多目标跟踪问题所取得的进展。
More attention is concentrated on data correlation since this is the most important and difficult aspect of multiple targets tracking.
主要的注意力集中在数据相关这一重要而困难的方面。
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