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数据关联算法性能评估的一种方法 被引量:1

A Method to Evaluate the Performance of Data Association Algorithms
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摘要 数据关联算法性能的优劣直接影响跟踪系统的性能。因此在给出一种算法后,必须对该算法的性能进行评估,全面地了解该算法的优点以及缺点。以一种多目标数据关联算法为例,给出对数据关联算法的性能进行评估的一种仿真设计方法,包括设计思想及具体实现,并给出对该数据关联算法的评估结果。该方法同样适用于对多目标跟踪算法的性能进行评估。 The performance of a data association algorithm will directly determine the tracking effect in multi-target tracking. So when an algorithm is put forward, we must evaluate the performance of the algorithm by some way in order to find out the merits and defects of the algorithm. Firstly, this paper describes a new data association algorithm applying to multi-target tracking. And next, a simulation method applying to evaluate the performance of data association algorithms is given. Which include the design idea and implementation of the evaluating method. Finally, this paper gives the simulation results of the new data association algorithm by this method, This method can also be applicable to evaluate the performance of other algorithms in multi-target tracking.
出处 《火力与指挥控制》 CSCD 北大核心 2006年第5期4-7,12,共5页 Fire Control & Command Control
基金 国家自然科学基金资助项目(60172037)
关键词 数据关联 性能评估 关联概率 data association, performance evaluation, correlation probability
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参考文献3

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  • 2Shi Z S, Liu Z. Method and theory of target tracking and data fusion[M]. Beijing: National Defense Industry Press, 2010.
  • 3Rabiner L R. A tutorial on hidden markov models and selected applications in speech recognition [C]. Proceedings of the IEEE, 1989, 77(2): 257- 286.
  • 4Grag A, Balakrishnan S, Vaithyanathan S. Asynchronous HMM with applications to speech recognition[C]. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. USA: IEEE, 2004.
  • 5Gupta M R, Chen Y H. Theory and use of the EM algorithm [M]. Hanover: Now Publishers Inc, 2011.
  • 6Pan Q M. Study on the trajectory classification and recognition of moving objects[D]. Xi'an: Northwestern Polytechnical University, 2006.
  • 7林庆,徐柱,王士同,詹永照.HSV自适应混合高斯模型的运动目标检测[J].计算机科学,2010,37(10):254-256. 被引量:32

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