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《Opto-Electronic Engineering》 2010-09
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Multi-target Tracking Algorithm under Uncertain Environment

HUANG Da-yu1,2a,PENG Dong-liang2a,2b,XUE An-ke2a,2b,GUO Yun-fei2a,2b(1.School of Information Science & Engineering,ECUST,Shanghai 200237,China;2.a.Institute of Information and Control Technology;b.Key Laboratory of Fundamental Science for National Defense-Communication Information Transmission and Fusion Technology,Hangzhou Dianzi University,Hangzhou 310018,China)  
A multi-target tracking algorithm based on multi-model is proposed to solve uncertainties in real environment.The algorithm uses dual threshold method to ensure real-time performance and tracking accuracy.The method firstly preliminary determines the targets associated with the measurements,and then tracks these targets.The algorithm also determines the flight conditions according to the target state estimation.Different method are used in accordance with different flight conditions to improve its robust and real time performance.The measured data verifies the efficiency of the algorithm when tracking targets.
【Fund】: 国家自然科学基金(60805013 60905016);; 国家973计划项目(2009CB320600)
【CateGory Index】: TN953
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【Citations】
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【Co-citations】
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1 ZHANG Jin1,2,WANG Wan-ping2,3,WU Qin-zhang1(1.Institute of Optics and Electronics,Chinese Academy of Sciences,Chengdu 610209,CHN;2.Graduate School of Chinese Academy of Sciences,Beijing 100039,CHN;3.State Key Lab.of Optical Technologies for Microfabrication,Institute of Optics and Electronics,Chinese Academy of Sciences,Chengdu 610209,CHN);Federated Kalman Filter Based on Optoelectronic Tracking System[J];Semiconductor Optoelectronics;2008-04
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10 GE Quan-bo1,MA Guo-jin2,TANG Xian-feng1,WEN Cheng-lin11.Institute of Information and Control,Hangzhou Dianzi University,Hangzhou 310018,China;2.School of Electronic Information.Hangzhou Dianzi University,Hangzhou 310018,China;Recursive Fusion Algorithm with Correlated Noises and One-Step Out-of-Sequence Measurements[J];Chinese Journal of Sensors and Actuators;2009-01
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【Secondary Citations】
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