Performance Analysis and Comparison of Two Classic Algorithms in Multi-target Tracking

李良群. 信息融合系统中的目标跟踪及数据关联技术研究[D].[博士论文], 西安电子科技大学, 2007.Li Liang-qun. Research on the target tracking and dataassociation techniques with the information fusion system[D].[Ph. D. dissertation], Xidian University, 2007.[2]韩崇昭, 朱洪艳, 段战胜. 多源信息融合[M]. 北京: 清华大学出版社, 2006, 297-303.Han Chong-zhao, Zhu Hong-yan, and Duan Zhan-sheng.Multi-source Information Fusion [M]. Beijing, TsinghuaUniversity Press, 2006: 297-303.[3]李正周, 金钢, 董能力. 基于改进概率数据关联滤波的红外小运动目标跟踪[J].电子与信息学报.2008, 30(4):953-956浏览[4]樊国创, 戴亚平, 许向阳. 基于神经网络的混合双滤波器自适应目标跟踪算法. 火力与指挥控制, 2009, 34(2): 120-123.Fan Guo-chuang, Dai Ya-ping, and Xu Xiang-yang. Neuralnetwork-based hybrid double filters for adaptive targettracking. Fire Control Command Control, 2009, 34(2):120-123.[5]Goodman I, Mahler R, and Nguyen H. Mathematics of DataFusion[M]. Dordrecht: Kluwer Academic Publishers, 1997,Chapter 2, 4-8.[6]徐晓滨, 文成林, 刘荣利. 基于随机集理论的多源信息统一表示与建模方法. 电子学报, 2008, 36(6): 1174-1181.Xu Xiao-bin, Wen Cheng-lin, and Liu Rong-li. The unifiedmethod of describing and modeling multi-source informationbased on random set theory. Acta Electronica Sinica, 2008,36(6): 1174-1181.[7]Mahler R. Multi-target Bayes filtering via first-ordermulti-target moments[J].IEEE Transactions on Aerospace andElectronic System.2003, 39(4):1152-1178[8]Mahler R. An introduction to multi-source multi-targetstatistics and its applications. Technical Monograph.Lockheed Martin, Eagan MN, 2000.[9]Ulmke M, Franken D, and Schmidt M. Missed detectionproblems in the cardinalized probability hypothesis densityfilter. 11th International Conference on Information Fusion.Cologne, 2008: 1-7.[10]Vo Ba-ngu and Ma Wing-kin. A closed-form solution for theprobability hypothesis density filter. 8th InternationalConference on Information Fusion. Philadelphia, 2005:856-863.[11]Zhang Hong-jian, Jing Zhong-liang, and Hu Shi-qiang. Tracksextraction of the probability hypothesis density filter forsurvival targets. Proceedings of the 27th Chinese ControlConference, Kunming, 2008: 343-347.[12]Liu Wei-feng, Han Chong-zhao, Lian Feng, Xu Xiao-bin, andWen Cheng-lin. Multitarget state and track estimation forthe probability hypothesis density filter[J].Journal ofElectronics (China.2009, 26(1):2-12[13]Wen Cheng-lin and Xu Xiao-bin. Random sets in data fusion:a new framework for multi-target tracking. Systems andControl in Aerospace and Astronautics, Harbin, 2006:999-1004.[14]K Chang and Y Bar-shalom. Joint probabilistic dataassociation for multi-target tracking with possibly unresolvedmeasurements and maneuvers[J].IEEE Transactions onAutomatic Control.1984, 29(7):585-594[15]Clark D, Vo Ba-tuong, Vo Ba-Ngu, and Godsill S. Gaussianmixture implementations of probability hypothesis densityfilters for non-linear dynamical models. 2008 IET Seminar onTarget Tracking and Data Fusion: Algorithms andApplications, Birmingham, 2008: 21-28.[16]文成林, 吕冰, 葛泉波. 一种基于分步式滤波的数据融合算法[J]. 电子学报, 2004, 32(8): 1264-1267.Wen Cheng-lin, L Bing, and Ge Quan-bo. A data fusionalgorithm based on filtering step by step. Acta ElectronicaSinica, 2004, 32(8): 1264-1267.