The performance analysis of three-dimensional track-before-detect algorithm based on Fisher-Tippett-Gnedenko theorem

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• 作者：Hoonkyung Cho^a ; ^{hkcho@sclab.kaist.ac.kr" class="auth_mail" title="E-mail the corresponding author} ; Joohwan Chun^a ; ^{chun@ee.kaist.ac.kr" class="auth_mail" title="E-mail the corresponding author} ; Sungchan Song^b ; ^{sungchan.song@hanwha.com" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Three-dimensional track-before-detect algorithm ; Fisher-Tippett-Gnedenko theorem ; Detection probability ; False alarm probability
• 刊名：Infrared Physics & Technology
• 出版年：2016
• 出版时间：September 2016
• 年：2016
• 卷：78
• 期：Complete
• 页码：241-248
• 全文大小：688 K

文摘

The dim moving target tracking from the infrared image sequence in the presence of high clutter and noise has been recently under intensive investigation. The track-before-detect (TBD) algorithm processing the image sequence over a number of frames before decisions on the target track and existence is known to be especially attractive in very low SNR environments (class="mathmlsrc">class="formulatext stixSupport mathImg" data-mathURL="/science?_ob=MathURL&_method=retrieve&_eid=1-s2.0-S1350449516301530&_mathId=si32.gif&_user=111111111&_pii=S1350449516301530&_rdoc=1&_issn=13504495&md5=407f1de896be731bf584c6c0496c3af5" title="Click to view the MathML source">⩽class="mathContainer hidden">class="mathCode">$⩽$3 dB). In this paper, we shortly present a three-dimensional (3-D) TBD with dynamic programming (TBD-DP) algorithm using multiple IR image sensors. Since traditional two-dimensional TBD algorithm cannot track and detect the along the viewing direction, we use 3-D TBD with multiple sensors and also strictly analyze the detection performance (false alarm and detection probabilities) based on Fisher-Tippett-Gnedenko theorem. The 3-D TBD-DP algorithm which does not require a separate image registration step uses the pixel intensity values jointly read off from multiple image frames to compute the merit function required in the DP process. Therefore, we also establish the relationship between the pixel coordinates of image frame and the reference coordinates.